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Chapter 2. Global Statistics of SPHERONS and Empirics of GPS

PARAGRAPHS:

2.1. Statistics of SPHERONS of Russia for 2010: Methodology, Sources and Number. Olga Kashina and Leo Semashko

2.2. Statistics of SPHERONS of St. Petersburg in 2010: Number. Olga Kashina

2.3. Statistics of SPHERONS of India in 2010: Sources and Number

2.4. Statistics of SPHERONS of USA in 2010: Sources and Number

2.5. Statistics of SPHERONS of Germany in 2010: Sources and Number

2.6. Statistical Study of SPHERONS of Educational Institutions. Svetlana Kuskovskaya, Habyarimana Heli, Maitreyee Roy, Maria Azcona, Leela Pradhan, Ammar Banni

2.7. Monitoring: Dynamics of Peace and War Priorities in World Public Consciousness in 2014. Leo Semashko, Ivan Ivanov

2.8. Program of Statistical Study of SPHERONS of Educational Institutions

2.9. Dynamics of SPHERONS in Russia, India, USA and Kazakhstan for 1950-2010 by Decades

2.10. Perspectives and Significance of Global Spheral Statistics

2.1. Statistics of SPHERONS of Russia for 2010:

Methodology, Sources and Number. Olga Kashina and Leo Semashko

Contents

1.Tasks of Study

2.Definition of SPHERONS, Spheral Classes of the Population

3.Classification of SPHERONS: Spheral Indices

4.Sources of Statistics o­n Employment and Unemployment of the Population in Russia

5.Classification by Branches of Economic Activity and Categories of Personnel

6.Technique of Definition of Number of Russia SPHERONS Based o­n Statistics

7.Mid-year Population of the Russian Federation for 2010

8.Definition of Number of Non-working Population (P1n) in Russia for 2010

9.Number of SPHERONS in Russia for 2010

10.Number of SPHERONS in Russia for 1991 and 1996

11.Conclusion: Problems and Significance of the Study

12.References

1. Tasks of Study

The purpose of our statistical study is to define the numerical distribution of the population in Russia o­n the spheral classes, SPHERONS, for 2010. To achieve this purpose in our work we solved the following tasks:

·Formed the definition of SPHERONS (spheral classes of the population);

·Formed the SPHERONS classification and their spheral indices;

·Created the technique of determining the number of SPHERONS in Russia based o­n statistics of the population of Russia;

·Examined the sources of statistics o­n employment and unemployment of the population of Russia;

·Reviewed classifications by the branches of economic activity and categories of personnel used in Russia currently;

·Collected data characterizing employment by the branches of economic activity, categories of personnel and non-working population;

·Conducted grouping of the Russian population by SPHERONS for 2010, which is expressed in their final table of number.

The study signification is defined by the fact that people/population who constitute SPHERONS are the main productive force of society and are a priority social resource that produces all other resources of society, including the population itself. Therefore, statistics of the population, its employment and other qualities are particularly important, as is disclosed in the first chapter of this book.

2. Definition of SPHERONS, Spheral Classes of the Population

The first chapter, especially paragraph 1.2, is devoted to this issue. We recount o­nly the definition of it here.

SPHERONS, which are spheral classes of the population, are the extremely large groups of people covered as a whole and employed in four spheres of social production of PIOT resources (People, Information, Organization, Things) and who differ o­n the main (on time) as being employed in o­ne of the spheres. See also [5, 70].

Four spheres of production are:

1. Social sphere, or Sociosphere (S), the subject and product of which are people (P);

2. Information sphere, or Infosphere (I), the subject and product of which is information (I);

3. Organizational sphere or Orgsphere (O), the subject and product of which are organization, management, politics, law, finance, defense, etc. (O);

4. Technical (economic/environmental) sphere, or Technoecosphere (T), the subject and product of which are things, including all material goods and services (T).

Together, these are called SIOT.

Four SPHERONS, spheral classes, employed in these spheres SIOT are:

1. SOCIOCLASS, people employed in Sociosphere, subject and product of this class are P;

2. INFOCLASS, people employed in Infosphere, subject and product of this class is I;

3. ORGCLASS, people employed in Orgsphere, subject and product of this class is O;

4. TECHNOCLASS, people employed in Technoecosphere, subject and product of this class are T. See also [6, 33-43].

3. Classification of SPHERONS: Spheral Indices

SPHERONS, as a whole, and the individuals who make them differ by main (on time) employment in o­ne of the four spheres of society. (Employment of SPHERONS was discussed in more detail in the first chapter, paragraph 1.6.). Employment defines each person’s universal life characteristics from birth to death. All other qualities of people, o­n which they differ, such as labor, property, power, education, and the like, are its partial manifestations and/or products. All the time within people’s livesis devoted to production of various social resources, including and above all, the continuation of life for themselves. Within multidimensional topology of vital employment of people vary its two principal clusters:

1. Self-production or autopoiesis is employment of each person by himself (“I”) from birth to death in processes such as eating, sleeping, learning, communication, recreation, etc. The term self-production (autopoiesis) was first introduced by Umberto Maturana and Francisco Varela (1973) for theoretical biology to describe the self-reproduction of living cells. In 1990, this term was reinterpreted in sociology by Niklas Luhmann to describe characteristics of human communication as a key element of social system. Autopoiesis belongs in Sociosphere because it includes all kinds of human activity except economic/labor activity, which stands out in a separate cluster of employment.

2. Labor or economic employment of people by other resources except “I”. As a rule, this is formally established within norms of labor activity of society. The labor activity is a part of self-production known as “seniority (work experience)” or “experience of labor activity.” It is part of each person’s life.

These two clusters of employment divide the entire population into two parts:

1. Nonworking (economically inactive) population employed in Sociosphere by self-production.

2. Working or economically active population employed in all spheres.

We express SPHERONS according to a special, spheral indices:

P. Population/people in general for any level of school and from town to country to the world;

P1. Socioclass who are employed in Sociosphere (first sphere);

P1n. Non-working population who are employed in self-production of Sociosphere and forming part of the Socioclass;

P1w. Working population who are employed in labor of industries/branches of Sociosphere and who constitute another part of the Socioclass. Therefore, P1 = P1n + P1w.

P2. Infoclass who are employed in branches of Infosphere (second sphere);

P3. Orgclass who are employed in branches of Orgsphere (third sphere);

P4. Technoclass who are employed in branches of Technosphere (economic, fourth sphere).

Each spheral class is a separate SPHERON covering part of the population employed in o­ne of the four spheres of social production. In sum, the number of people in the four SPHERONS is the population as a whole. This is expressed by the simple formula:

P = P1 (P1n + P1w) + P2 + P3 + P4 or

Population/People = Socioclass (nonworkers + workers) + Infoclass + Orgclass + Technoclass.

The purpose of this study is to determine the number of each SPHERONS within Russia in 2010, the sum of which is the population of Russia in 2010 as a whole.

4. Sources of Statistics o­n Employment and Unemployment of the Population in Russia

Because the classification of population according to SPHERONS is an unknown statistic, the number can be determined indirectly by available statistics.

In this study, we used three main sources of statistics o­n Russian employment and unemployment:

• Data of Russia Population Census 2010 round (RPC-2010), published in 11 volumes [7; 8; 9; 10; 11];

• The Distribution of Employees of Enterprises and Organizations o­n Economic Activity Kinds o­n average for 2010. [2];

• Sample Data o­n the Number of Organizations’ Staff by the Activities Kinds and Staff Categories [2].

In 2010, the census enumerated the resident population of Russia. The census was carried out at each person’s place of permanent (usual) residence, which might or might not coincide with the address where the person is registered. In each dwelling existed the people who (usually) live there all the time, including those who at the moment of census were temporarily absent for a period of up to o­ne year.

The resident population is categorized by households:

• private households;

• collective households;

• homeless households.

The population living in private households, distributed by gender and age, were allocated as:

• Children and adolescents aged 0-14 years;

• The population aged 15-72 years; it is among the employed population in this age group that random observations about employment and professional composition of employees in the period after the census were conducted;

• Persons aged 73 years and older.

This source allows defining the number of people in the population who are employed, self-production or non-working (inactive), which is part of the Socioclass, expressed by spheral index P1n.

5. Classification by Branches of Economic Activity and Categories of Personnel

In this study were used three statistical classifications, according to:

1. Economic activity;

2. Industries/branches/types/kinds of economic activity (activities);

3. Personnel/staff categories.

These classifications allow us to define the number of SPHERONS employed in four spheres, according to the number of employees in the industries of each sphere.

Classification of economic activity was used from the RPC-2010 materials.

The economically active population includes persons aged 15-72 years who, for the week before the census (from 7 to 13 October 2010), were employed in economic activity or looking for work and were ready to start. This economically active population was divided into employment in the economy and the unemployed. (Unemployed busy self-production are included in P1n of Socioclass as o­ne of SPHERONS).

The employed in economy are those who, for the week before the census (from 7 to 13 October 2010), were working independently of the timing of direct payment or income for their work activity (at least o­ne hour per week) or receiving income regardless of whether it was permanent, temporary, seasonal, casual or other work (including self-employment and the provision of various services to individuals, paid social work, work without pay for a family business, work o­n a peasant/farm and various kinds of underworking both periodic and o­ne-off).

The employed were considered also the persons who performed household work o­n the production of goods or services, including agriculture, forestry, hunting, fishing and its processing, if the products are intended for market.

The persons who owned their a company or business and working o­n it but in the survey week were missing work for any reason were considered employed if in the period of their absence the business continued to operate.

The employed in economy were considered also the temporarily absent from work due to illness or injury, care, annual leave or unpaid leave of their own accord, weekend time off, reimbursement of overtime or work o­n holidays (weekend) days of work o­n a special schedule, spent in reserve, statutory maternity leave, maternity leave and child care, education or training outside their workplace, educational leave, leave without pay or leave with pay by the administration.

The students and pensioners who had any work during the period are also among the employed in the economy.

Data o­n the average annual number of employed in the economy after the census period formed by the main job of the civilian population o­nce a year in the preparation of the balance of labor resources o­n the basis of organizations’ information, materials of sample survey o­n employed population and the data of executive bodies. The annual average number of employees includes working foreign nationals who are permanent residents and those temporarily residing in the territory of Russian Federation.

During the census were not considered employed in economy those who from 7 to 13 October 2010 o­nly studied in an educational vocational institution full-time; produced products in private farms for their own consumption; provided services in their own household cleaning house, cooking, and similar services; provided services free of charge for any individuals or charities, parent councils, committees, veterans hospitals or nursing homes, etc.; owned shares of any company or society without direct participation in the economic activity of the organization; begging (even if it generated revenues) or collection of bottles, etc.

The unemployed are those who in the survey week did not have a job (gainful employment) and:

- Were seeking work and were available for work during the survey week. Finding a job is considered a public or commercial employment service; so is use of or placing ads in the media, direct appeal to the administration of a company or potential employer, and use of personal connections to promote o­neself, and the organization of o­ne’s own business;

- Found a job and proceeded to it two weeks after the survey week;

- Found a job and expected a response from the administration or the employer with a response waiting period not to exceed o­ne month.

For those who organize their own business, the period of the job search was considered an activity to registration of business. Activity after the registration was deemed to be busyness o­n own enterprise.

The pupils, students and pensioners were counted as unemployed if they, in the survey week, were seeking work and were ready to start.

Economically inactive population are people aged 15-72 years who were not employed in the economy or unemployed during the survey week [3].

Classification of economic activity was used to highlight the following categories of the population aged 15-72 years:

• Economically active population (employed and unemployed);

• Economically inactive population (scholarship holders, pensioners, persons receiving benefits except unemployment benefits, engaged in private farming, etc.);

• Persons who have not indicated economic activity.

Grouping of economic units (enterprises) by the kinds of economic activity (KEA) was done using the Russian Classification of Economic Activities (RCEA), adopted and entered into force o­n January 1, 2008. RCEA is based o­n harmonization with the official version in Russian of Statistical Classification of Economic Activities in the European Community (NACE Rev. 1) by maintaining the names of respective positions without changing the scope of the concepts. These are the following types of activities [12]:

Table-1. Economic Activities

During the sample survey of payroll, the number of organizations by professional groups and economic activities conducted o­n October 31, 2012 is identified by the following categories of staff:

• Heads of organizations and their structural units (services);

• Specialists of higher qualification;

• Specialists of mid-level qualifications;

• Employees engaged in the preparation of information, documentation, accounting and service;

• Service workers, housing and communal services, trade and related activities;

• Skilled workers in agriculture, forestry, hunting and fishery activities;

• Skilled factory workers, construction, transport, communication, geology and exploration of mineral resources;

• Operators, machinists of systems and machinery;

• Unskilled workers.

The above categories of staff were grouped into four groups to highlight four spheral classes or SPHERONS:

1. The heads of organizations and their structural units (services) - P3, Orgclass;

2. Specialists of higher and mid-level qualifications engaged learning and health care personnel - P1w, Socioclass;

3. Specialists and employees involved in preparation of information, documentation and accounting - P2, Infoclass;

4. Other categories of staff, except heads and employees involved in the preparation of information, documentation, accounting and service - P4, Technoclass.

In this case, the category of employees engaged in the preparation of information, documentation, accounting and service groups include the following personnel:

• Stenographers and typists;

• Operators using special equipment for the preparation and transmission of information (printer, telex, facsimile, cryptographic equipment and e-mail);

• Operators of computers (PCs), employed various information input;

• Operators of computers (counting machines, calculators, texture machine);

• Secretaries and clerks;

• Employees engaged in accounting transactions and accounting;

• Employees engaged in the processing of statistical and financial information;

• Employees engaged in the receipt and delivery of goods;

• Employees engaged in dispatching production.

• Employees engaged in accounting and o­n duty transport;

• Employees engaged in card files and libraries;

• Coders, proofreaders and related occupations;

• Other employees engaged in the preparation of information, documentation and accounting;

• Cashiers, including tickets cashiers;

• Cashiers of banks and related occupations;

• Employees to obtain payments o­n accounts, overdue and other cash amounts;

• Employees engaged in receiving and informing visitors (receptionists, attendants of pass office, o­n the issuance of certificates and others);

This group includes the specialists of scientific and design organizations, cultural institutions, art, media, advertising and the like.

Due to the fact that the selected above categories are involved in the preparation of information, documentation, accounting and service, employees who do not have special vocational training are necessary to correct this size. Such adjustments are associated with the addition to the number of employees a number of specialists with secondary and higher vocational education who are employed with processing and analysis of information. Unfortunately, data o­n the number of specialists with secondary and higher education employed processing and analysis of information is missing in the statistics of Russian Federation.

6. Technique of Definition of Number of Russia SPHERONS Based o­n Statistics

The technique of determining the number of SPHERONS of employed (working, economically active) persons in Russia is a superposition and cumulative use of two traditional statistical classifications (KEA and categories of staff) o­n the structure of SPHERONS. Or, in other words, the statistical information of employment in KEA and staff categories are differentiated and grouped by four SPHERONS structure (except for the non-working population engaged in self-production). This technique can be expressed by the following table.

Table-2. KEA by Personnel Categories

Application of this technique to the statistics of employed (economically active) persons of Russia with taking into account the non-working (economically inactive) population will allow us to define the size of SPHERONS of Russia in full in 2010 according to the census.

7. Mid-year Population of the Russian Federation for 2010

Mid-year population of the Russian Federation for 2010 amounted to 142.938 million. This is calculated by the average chronological quarters of 2010. By the average annual number of indicators, we calculate the average per capita (income, housing, consumption, etc.). Therefore, this study used the average annual population and average number of employed as the most robust data for the year [1; 4].

8. Definition of Number of Non-working Population (P1n) in Russia for 2010

The 2010 population census of the age and gender composition of the population living in private households identified the following age groups and calculated the structure of the non-working population employed in self-production [3; 7; 8; 9; 10; 11]:

Table-3. Employed self-production (non-working, economic inactive), millions

Calculated according to the RPC - 2010, Volume 7, Table 1, Population of private households by age groups, gender and economic activity [11]:

http://www.gks.ru/free_doc/new_site/perepis2010/croc/perepis_itogi1612.htm

9. Number of SPHERONS in Russia for 2010

Table-4. Number of SPHERONS of Population in RUSSIA for 2010,

in million people

Total in Table-1 are 32 indices + statistical error.

* The number of employed by KEA is given except for the organizations’ heads (P3) and employees working with information (P2).

** The number of employed by KEA in P and Q branches was not published; it is very small, so it is not considered.

The calculations were performed o­n the average number of employees for 2010.

Note. o­n the basis of available publications and statistical data, we could not allocate the employed in culture (libraries, archives, museums, radio and television, etc.) of economic activity “OTHER COMMUNITY, SOCIAL AND PERSONAL SERVICE ACTIVITIES” to exclude this population from Sociosphere and to include in Infosphere.

10. Number of SPHERONS in Russia for 1991 and 1996

For comparison, we publish a similar table of SPHERONS of Russian population for 1991 and 1996, made in other state statistical classification of economic activities and published in 2002 [5, 71-72].

Table-5. Number of SPHERONS in Russia for 1991 and 1996 in million people

11. Conclusion: Problems and Significance of the Study

The problems of this statistical study are caused by its novelty (nobody has conducted similar studies) and its colossal labor input. These problems become apparent when expanding the content of research, for example, as proposed in its Program (below), including an analysis of the economic situation of SPHERONS, their income, their participation in government, their education and, similarly, their qualities in dynamics for years, in different countries and at different levels from municipal to global, starting from schools, hospitals, small businesses and settlements to large corporations, cities and countries.

The significance of this study is difficult to overestimate.

First, the statistical analysis of the number of Russian SPHERONS in 2010 opens the fundamental new possibility of creating an evolution of global (spheral) statistics as a common denominator for the bad comparable national statistics of traditional branch nature, which are now developing in this direction poorly for a very long time. The branches and activities within spheres appear and disappear, change names, unite with others and are divided into several new branches and activities, which are different in different countries and in different within o­ne country. The currently used inferior ways are constantly changeable, while spheres and their classes - SPHERONS - are constant and eternal for any country and for all its historical periods. This will ensure stability and uniformity of the global/spheral statistics for a single global world in the future.

Second, if this study were possible for o­ne country at different times with different statistical classifiers, it is equally possible for any other country despite the differences in statistical classifications and systems of indices in each country. But it is extremely time-consuming, innovative work that requires efforts of relevant scientific institutions.

Third, it opens the possibility of quantifying the causes and sources of all wars and armed conflicts, paving the way for their intelligent, non-violent and peaceful solution. Global/spheral statistics are an essential element of global peace science (GPS), without which it cannot exist. In place of baseless and eternal accusations by warring parties, the SPHERONS method is able to put accurate, statistical assessment of the scale of mutual contradictions and disharmony and indicate ways to eliminate or minimize them for beneficial mutual interests.

Fourth, development of other social sciences depends o­n the global/spheral statistics of SPHERONS; for example, forecasting, without which “the future loses certainty” and humanity is deprived of scientific wisdom. Academicians Viktor Sadovnichiy and Daisaku Ikeda present this idea. In particular, they wrote: “Today, the mathematical theory of forecasting (which is inseparable from statistics – O.K. and L.S.) has neither enough depth in the theory of forecasting nor satisfactory breadth of coverage in the range of application areas that are particularly important for practice. These factors cannot but affect the credibility and long-term impact of both discussed and proposed forecasts”[13]. The scientific theory of social harmony, presented in the ABC of Harmony and crystallized in its social genome SOCIONOME, together with the global social structure of SPHERONS and global/spheral statistics, is “deep theory of forecasting.” They provide credibility, long-term and worldwide forecasting but require the development of new mathematics of harmony and global statistics, which are suitable to express and calculate the spheral elements of social harmony, especially its source - SPHERONS. They define scientific wisdom as “diverse harmony” in the words of Daisaku Ikeda. The future lost certainty in traditional social science of dying industrial civilization, which has no future. But the future finds certainty through the GPS definitions in the new social science based o­n GPS. This future is a harmonious civilization of SPHERONS, conscious/scientific global peace without wars, conservation of nature, economic and political equality, justice and love.

Fifth, most importantly, this study as a statistical proof of SPHERONS in o­nly o­ne country - in Russia - and it is minimal. But for a start, it is enough to convince us in their universal existence and objective reality as eternal actors of global peace from harmony. The subsequent similar studies in other countries will confirm this conclusion.

References:

1. Regions of Russia. Socio-economic Indicators 2013. Statistical Collection. M: 2013

2. Methodological Guidelines for Conducting Sample Surveys of Population o­n Employment (Labor Force Survey). M: 2010: http://www.gks.ru/free_doc/new_site/population/trud/Untitled452-10.pdf

3. Methodological Clarification to the National Population Census 2010. M: 2010

4. Statistical Yearbook of Russia 2013. -M: 2014

5. Semashko Leo (2002). Tetrasociology: Responses to Challenges. -St Petersburg

6. Semashko Leo and GHA 75 coauthors (2012). The ABC of Harmony for World Peace....- Delhi

7. Russian Census of Population 2010

8. Volume 1 Number and Distribution of the Population

9. Volume 2 Age and Sex Composition and Marital Status

10. Volume 6 The Size and Composition of Households

11. Volume 7 The economic Active and Inactive Population

12. The National Classifier of Economic Activities OK 029-2007 (NACE Rev. 1.1). -M.: 2012

13. Sadovnichiy Victor, Ikeda Daisaku (2013). At the Turn of the Century. Dialogue o­n the Essentials— Moscow: Moscow University Press

Olga Kashina, Ph.D. (Statistics), Professor, State Educational University,

Graduated the Leningrad Finance and Economics Institute in 1976, specialty “Statistics.” In 1982 doctoral thesis of economic sciences o­n statistics. Teaching statistics in universities since 1977. Published more than 70 scientific works, including co-authorship of three textbooks for high schools o­n statistics. Expert of Rosstat in St. Petersburg and Leningrad region (Petrostat).

Home address: St. Petersburg, Russia,

Email: olgkash2007@rambler.ru

Leo Semashko, Ph.D. (Philosophy),

Founding President, Global Harmony Association (GHA) since 2005; State Councilor of St. Petersburg; Philosopher, Sociologist and Peacemaker from Harmony; Author of more than 300 scientific publications, including 16 books and brochures in 12 languages; Director: Tetrasociology Public Institute, Russia; Director, GHA Website “Peace from Harmony”: www.peacefromharmony.org; Editor in Chief, The ABC of Harmony for World Peace .. (www.peacefromharmony.org/?cat=en_c&key=478) by 76 co-authors from 26 countries, for which the GHA was recognized as o­ne of candidates for the Nobel Peace Prize 2013;

Home address: St. Petersburg, Russia,

Phone: 7 (812) 597-65-71, E-mail: leo.semashko@gmail.com,

2.3. Statistics of SPHERONS of India in 2010: Sources and Number

The Table of SPHERONS of India, bibliography and brief commentary: 5-10 pages, no more. Will be published later

2.4. Statistics of SPHERONS of USA in 2010: Sources and Number

The Table of SPHERONS of USA, bibliography and brief commentary: 5-10 pages, no more. Will be published later

2.5. Statistics of SPHERONS of Germany in 2010: Sources and Number

The Table of SPHERONS of Germany, bibliography and brief commentary: 5-10 pages, no more. Will be published later

2.6. Statistical Study of SPHERONS of Educational Institutions.

Svetlana Kuskovskaya, Habyarimana Heli, Maitreyee Roy, Maria Azcona, Leela Pradhan

In the first chapter was established universality of SPHERONS as a global social structure at all levels, starting with the smallest enterprises and schools. This is confirmed by a few simple statistical studies of spheral classes in several schools and colleges of different countries: Russia, Rwanda, India, Argentina and Nepal. We publish below the results of these studies in the form of the authors’ reports represented in comparable tables. All studies presented below have o­ne common title under which they are placed. They differ o­nly by the authors, country and number of SPHERONS.

Sociological Statistical Study (SSS) of Dynamics of Global Social Structure (Four Harmonious Spheral Classes of the Population - SPHERONS) at Level of:

Municipal Educational Budget Institution:
Novoladozhskaya Secondary School number 2,
School Address: town of Novaya Ladoga, Leningrad Street, Building 2
  Volkhov district, Leningrad region, Russia
Author:
Svetlana Kuskovskaya, a primary school teacher. My work experience at this school is 28 years. Home address: Novaya Ladoga, tel. +79052868550
Email: svetlana-5506@bk.ru

Table. Dynamics of our School SPHERONS (Spheral Classes) since 2000 to 2013, in persons

Date: February 5, 2014

Notes. The number of pupils in our school for these years decreased for several reasons:
1. Demographics: falling birth rate in our region;
2. Economic: several companies closed in our town;
3. Migration: young people are leaving the city St. Petersburg.

At the same time, there was a reduction of school staff, with many staff positions eliminated: speech therapist, psychologist, and others; nurse is listed in the hospital.

Conclusion: This study shows that the school can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and supports their harmony from which follows peace ensuring a normal work environment and life of the school. Absence of harmony is fraught with failures of the school work and its disorganization. The absence of any o­ne of these classes and disharmony between them mean that the workings of the school are impossible.

Svetlana Kuskovskaya

Institute of Agriculture, Technology and Education of Kibungo (INATEK),

Kibungo-Rwanda.

Author: Mr. Habyarimana Heli, Director of the Office of the Rector, P.O.Box 06 Kibungo-Rwanda, haheli2001@yahoo.fr, (+250)0788686324

Table: Dynamics of SPHERONS (Spheral Classes) in INATEK in persons since

2000 to 2013

Date: April 7, 2014

N/A: Not applicable (INATEK was created in 2003).

Conclusion:

This study shows, INATEK can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and support their harmony from which follows peace ensuring a normal work environment and life of INATEK. The absence of harmony is fraught with failures of the INATEK work and its disorganization. The absence of any o­ne of these classes and disharmony between them mean that INATEK workings are impossible. In the absence at least o­ne of these classes and harmony between them work of INATEK is impossible.

Mr. Habyarimana Heli

BASANTI DEVI COLLEGE, KOLKATA, INDIA, ESTD: 1959

Author: Dr. Maitreyee Bardhan Roy, Principal, Kolkata, India,

maitreyee25@rediffmail.com

Table: Dynamics of SPHERONS (Spheral Classes) in this College in individuals since

2000 to 2013

Date: March 31, 2014

The Table includes in the total 15 indices, for four years – 60 statistical data.

The SSS task of any educational institution for each country is the same. o­nly the identity of statistics provides their full-scale internal comparability within them and across countries and regions.

The SSS report for each educational institution in each country is limited by four years: 2000, 2005, 2010 and 2013, and is expressed as a single complex of 7 spheral indices and 10 branch indices, from which the spheral indices are made. The spheral indicators P1s and P4 are identical to the branch indices. Total is 15 indices. The report is limited by this Table that makes it available to any teacher.

Conclusion:

This study shows, our College can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and support their harmony from which follows peace ensuring a normal work environment and life of the College. Absence of harmony is fraught with failures of the College work and its disorganization. The absence of any o­ne of these classes and disharmony between them mean that the workings of the College are impossible.

Dr. Maitreyee Bardhan Roy

Bulnes Private Educational Experimental Institute, approved by the City Government to help pupils with different kind of learning disabilities, Buenos Aires, Argentine

Author: MARIA CRISTINA AZCONA, Educational Psychologist and familiar counselor in this Institute, Buenos Aires, Argentine, mcrisazcona@gmail.com

Table: SPHERONS (Spheral Classes) in Bulnes Institutefor 2010

March 27, 2014

Conclusion:

This study shows, Bulnes Institute can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and support their harmony from which follows peace ensuring normal work and life. Absence of harmony is fraught with failures of the Bulnes Institute work and its disorganization. The absence of any o­ne of these classes and disharmony between them mean that the workings of Bulnes Institute are impossible.

Maria Cristina Azcona

Faculty of Education, Sano Thimi Campus, University of Katmandu, Nepal

Address: Katmandu, Nepal

Author: Professor of Sociology of this University Leela Pradhan. My work Experience is 39 years. Email: leelaprd@hotmail.com

Table: Dynamics of SPHERONS (Spheral Classes) o­n Faculty of Education in individuals since

2000 to 2013

Date: April 11, 2014

Conclusion:

This study shows, our Faculty of Education can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and support their harmony from which follows peace ensuring normal work and life o­n Faculty. Absence of harmony is fraught with failures of our Faculty work and its disorganization. The absence of any o­ne of these classes and disharmony between them mean that the workings of Faculty are impossible.

Prof. Leela Pradhan

The University of El Oued

Address: Cite Dhahraouia-BP 215, Guemar 39002, Algeria

Author: Ammar Banni, Professor of Education in this University, ammarbanni@yahoo.fr

Table. Dynamics of SPHERONS in the University in persons since 2005 to 2013

May 15, 2014

Note. The University of El Oued, before 2005, was an adjunct university center of the University of Kasdi Merbah Ouargla. Since 2005, the University of El Oued was officially inaugurated and open from 3 faculties in 3 different places. Currently it contains 5 Faculties and o­ne College of Human Sciences and Education: Ahmed Arbia College where I worked until the end of 2013.

Conclusion:

This study shows, our University can work successfully o­nly in harmony, i.e. in coordinated interaction of its four SPHERONS (spheral classes), every from which is interested in it and support their harmony from which follows peace ensuring its normal work and life. Absence of harmony is fraught with failures of the University work and its disorganization. In the absence at least o­ne of these classes and harmony between them work of University is impossible.

Prof. Ammar Banni

These and similar studies of any companies, organizations, institutions, communities, cities and countries scientifically prove a reality, universality, necessity and sufficiency of the global social structure of spheral harmonious classes, SPHERONS, providing peace from their harmony at all levels from local to global as the first condition of life activity of humanity and every individual.

2.7. Monitoring: Dynamics of Peace and War Priorities in World Public Consciousness in 2014.

Leo Semashko, Ivan Ivanov

Monitoring of the Internet Data at GOOGLE, Quarterly since 2014, in English and Russian Languages, ​​in Four World's Spheres (SIOT), within the SOCIONOME (Social Genome) Paradigm of Global Peace Science (GPS)

The Feast in Time of Military Plague?*

* John Wilson (1785-1854), the famous Scottish writer, poet and philosopher wrote the play: The city of the plague, dedicated to the London plague of 1665. Alexander Pushkin (1799-1837), the great Russian poet created in this spirit a little tragedy "The feast in time of the plague" in 1830, dedicated to the cholera epidemic.

Today, we should ask about the military epidemic of humanity: The feast in time of the military plague? Our monitoring, which focuses o­n the diagnosis of global military pathology, answers to this question.

SOCIONOME Scheme:

SOCIONOME: Social Genome of Global Harmony and Global Peace:

Eternal Structure of the Society Spheres and their Constant Spontaneous Harmonization by Spheral Classes of Population at every Level: Global, Regional, National and Local Including the Human that Provides Natural Global Peace and its Objective Priority

Details about SOCIONOME look here:

1. The ABC of Harmony for World Peace ... 2012:www.peacefromharmony.org/?cat=en_c&key=585

2. Video, 8 minutes:http://youtu.be/hbxY5lREOeA

GHA 49th Project

Started: December 26, 2013

Approved by GHA: January 17, 2014

Authors:

Project Manager is Dr. Leo Semashko – Russia,

Moderator is Ivan Ivanov, and coauthors are 40 GHA members:

Daurenbek Aubakir, Julia Budnikova, Savita Srivastava, Nicolae Bulz, Leela Pradhan, Raissa Kaziyeva, Madhu Krishan, Uraz Baimuratov, Marie Robert, Bishnu Pathak, Muhammad Khan, Igor Shadkhan, Ernesto Kahan, María Cristina Azcona, Ayo Ayoola-Amale, Alexander Semashko, Vera Popovich, Charles Mercieca, Andrew Semashko, Svetlana Vetrova, Piotr Semashko, Svetlana Kuskovskaya, Surendra Pathak, Roxana Sadykova, Susana Roberts, Hedva Bachrach, Marianna Poghosyan, Guy Creque, Adolf Shvedchikov, Maitreyee Roy, Matjaž Mulej, Apostolos Paschos, Athanassios Koumouris, Takis Ioannides, Celia Altschuler, Lida Sherafatmand, Dmitry Delyukin,

from 16 countries:

Argentina, Armenia, Ghana, Greece, India, Israel, Kazakhstan, Malta, Nepal, Pakistan, Puerto Rico, Romania, Russia, Slovenia, France and the United States.

Copyright © 2014 Global Harmony Association

Copyright © 2014 Leo Semashko

Abstract

The proposed monitoring is created by GHA in the process and within of formation of the Global Peace Science (GPS) as its organic part and o­ne of the paragraphs of this book. But monitoring also possesses independent scientific and practical importance. Monitoring the dynamics of peace and war priorities in the world public consciousness/opinion is a unique, innovative and high-tech tool of GPS with wider social designation and application similar to other peacekeeping instruments: Global Peace Index, Happy Planet Index, and etc. The unique scientific and social importance of monitoring is defined the fact that the subject of its research o­n the basis of theory of global harmony in "the ABC of Harmony" (2012) is the source of war and peace - human consciousness, from which, as defined by the UN and UNESCO documents, begins any war and peace. No o­ne science explores the dynamics of its peaceful and military trends. Therefore, our monitoring, which measures the proportion of the war and peace priorities in the world public opinion by quarters of 2014 is an irreplaceable barometer of objective trends of their increase and decrease depending o­n the state of global social atmosphere. Of course, our monitoring, making just the first step in its life has already identified a threatening growing priority of military plague in public consciousness but this monitoring is very far from perfection and has many lacks, which will be overcome with time during its wide practical application and scientific development.

Publication:

In English: www.peacefromharmony.org/?cat=en_c&key=588

In Russian: www.peacefromharmony.org/?cat=ru_c&key=610

Table: Monitoring of Peace and War Priorities in the GPS SOCIONOME Paradigm through determining the frequency of their terms in GOOGLE

Notes to the monitoring table as its rules

1. For each term in the table the unit of measure is millions (m) of uses, which GOOGLE shows and which are rounded to the third decimal place, i.e. to thousands.

In the table are the following notations:

0 - is meaning that the search query is not found any pages.

0+ - means that the number of search results is less than 1,000.

0* - means that the search query was found o­nly o­ne page - page of monitoring site: http://peacefromharmony.org/