An An Assessment of Historical Trends in the Formation of the Age Structure of Humanitarian Researchers over 100 Years

Authors

DOI:

https://doi.org/10.15407/sofs2021.01.044

Keywords:

humanities researchers, age group, cohort by year of birth, cohort analysis, life cycle, age structure, research activity

Abstract

The global trend of aging science being a topical and most controversial scientific issue today, its addressing is one of the science policy priorities in many countries. One way to solve the problem of aging science is to determine the balance of the age structure of active researchers in the context of the life cycle concept. This can be facilitated by identifying historical trends in the formation of the age structure of researchers, as well as the evolution of its structural elements over time. Therefore, the purpose of the study is to identify and evaluate historical trends in the formation of the age structure of humanities researchers over 100 years.

The purpose of the study is achieved by using the conceptual principles of the life cycle (aging of the individual and the processes of organizational growth and decline) of cohorts of researchers by year of birth, and the method of cohort analysis is applied to determine historical trends in the formation of the age structure of humanities researchers in 1909 and 2009, analyze the structure as the dynamics of change in the cohorts, and estimate the revealed basic tendencies.

To determine the age structures of active humanities researchers for 100 years, a statistical array of historiographical and bibliometric data on well-known and outstanding humanities researchers was formed. Historiographical and bibliometric data consist of information about the year of birth, beginning and end of scientific activity of researchers. In total, the statistical array of the study included historiographical and bibliometric data on 7,130 researchers from 145 countries, born in 1820—1995. To structure the data in time and perform the tasks of this study, all researchers were grouped into 5-year cohorts by year of birth.

It is concluded that the application of the conceptual principles of the life cycle of research activity and the method of cohort analysis allows to identify some historical trends in the age structure of humanities researchers, as well as to identify aspects of addressing the scientific problem of balancing this structure. It was found that events of global scales (world wars or the fourth information revolution) increased both the middle age and the significance of older age groups in the age structures of humanities researchers. The hypothesis was confirmed that the age structures of humanities researchers were institutional in nature, as the onset of disappearance of researchers’ cohorts (67±1 year) was almost unchanged for 100 years and corresponded to the official age limit for full-time positions in most leading countries. The increase in the researchers’ age in the context of the aging of science during 1909—2009 was due to the increased time for researchers’ education and for the maximization of researchers’ cohorts. This increase is offset by the decreased duration of their half-life, which is a sign of the balance of the life cycle of research activity of cohorts by year of birth.

References

Milojević S., Radicchi F., and Walsh J.P. Changing demographics of scientific careers: The rise of the temporary workforce. Proceedings of the National Academy of Sciences.2019. 116(4), P. 1457—1457. https://doi.org/10.1073/pnas.1821743116

Ghaffarzadegan N., Xu R. Late retirement, early careers, and the aging of U.S. science and engineering professors. PLoS ONE. 2018. No 13(12): e0208411. https://doi.org/10.1371/journal.pone.0208411

Blau D.M., Bruce A. Weinberg. Why the US science and engineering workforce is aging rapidly. PNAS. 2017. No 114(15). P. 3879—3884. https://doi.org/10.1073/pnas.1611748114

Zwick T., Göbel C., Fries J. Age-differentiated work systems enhance productivity and retention of old employees. In: C.M. Schlick, E. Frieling, J. Wegge (Hrsg.). Age-differentiated work systems. Berlin: Springer, 2013. No 448. P. 25—44. https://doi.org/10.1007/978-3-642-35057-3_2

Matthews K.R.W., Calhoun K.M, Lo N., Ho V. The Aging of Biomedical Research in the United States. PLoS ONE. 2011. No 6(12): e29738. https://doi.org/10.1371/journal.pone.0029738

БубликС.Г. Віковийчинникдослідницькогопотенціалунауки. Проблеминауки. 2005. № 2. С. 9—15.

O’Rand A.M., Krecker M.L. Concepts of the life cycle: Their history, meanings, and uses in the social sciences. Annual Review of Sociology. 1990. No 16(1). P. 241—262. https://doi.org/10.1146/annurev.so.16.080190.001325

Жилінська О.І. Вікова структура кадрового потенціалу науки: проблеми та завдання державної науково-технологічної політики України. Наука та наукознавство. 2005. № 3. С. 81—98.

Дежина И.Г. Государственное регулирование науки в России: моногр. / Ред. Н.И. Иванова; Ин-т мировой экономики и междунар. отношений РАН. М.: Магистр, 2008. 430 с.

Вашуленко О.С., Грига В.Ю., Єгоров І.Ю. Побудова сценаріїв розвитку наукових кадрів в Україні на основі використання статистичних моделей. Наука та наукознавство. 2010. № 1(67). С. 28—39.

Грига В.Ю., Вашуленко О.С. Оцінка стану наукових кадрів України: віковий аспект. Наука та наукознавство. 2013. № 1(79). С. 38—46.

Попович О.С., Костриця О.П. Вікова структура кадрів як фактор життєздатності наукової системи України. Наука та інновації. 2016. № 12(2). С. 5—10. https://doi.org/10.15407/scin12.02.005

Ушакова С.Е., Бойченко Т.А. Анализ динамики возрастной структуры российских исследователей. Наука. Инновации. Образование. 2018. № 1(27). С. 5—25.

Терещенко О.В. Метод когортного анализа в социальных исследованиях. Социоло­гия: 4М. 2009. № 29. С.172—185.

Булкин И.А. Эволюция возрастной структуры исследователей в организациях НАН Украины. Наука та наукознавство. 2016. № 4(94). С. 38—39.

Попович О.С., Костриця О.П. Відновлення наукового потенціалу української науки: необхідність і реальні перспективи. Наука та інновації. 2017. Т. 13. № 4. С. 5—13. https://doi.org/10.15407/scin13.03.005

Попович О.С., Костриця О.П. Посилення негативних тенденцій в динаміці кадрового потенціалу НАН України. Наука та наукознавство. 2020. № 1(107). С. 22—33. https://doi.org/10.15407/sofs2020.01.022

Науэн М.С. Эвристические возможности когортного анализа в социологии: дисс. … канд. соц. наук: 22.00.01. Санкт-Петербург, 2006. 138 с.

Булкін І.О. Особливості вікової структури наукових кадрів НАН України як провідного елемента наукової системи країни. Наука та наукознавство. 2016. № 2. С. 50—61.

Firebaugh G. Where does social change come from? Estimating the relative contributions of individual change and population turnover. Population Research and Policy Review. 1992. Vol. 11. P. 1—20. https://doi.org/10.1007/BF00136392

Andrew Bell. Age Period Cohort analysis: A review of what we should and shouldn’t do. Annals of Human Biology. 2020. No 47(2). P. 208—217. https://doi.org/10.1080/03014460.2019.1707872

Науэн М.С. Метод когортного анализа в социологии. Журнал социологии и социальной антропологии. 2006. № 9(3). C. 137—144.

Adams J., Brückner H., and Naslund C. Who Counts as a Notable Sociologist on Wikipedia? Gender, Race, and the “Professor Test”. Socius: Sociological Research for a Dynamic World. 2019. Vol. 5. P. 1—14. https://doi.org/10.1177/2378023118823946

Sinatra R., Wang D., Deville P., Song C., Barabasi, A.-L. Quantifying the evolution of individual scientific impact. Science. 2016. 354(6312), aaf5239—aaf5239. https://doi.org/10.1126/science.aaf5239

Lande D.V., Andrushchenko V.B., Balagura I.V. Wiki-index of authors popularity. arXivpreprintarXiv. 2017. 1702.04614.

Radicchi F., Castellano C. Analysis of bibliometric indicators for individual scholars in a large data set. Scientometrics. 2013. No 97(3). P. 627—637. https://doi.org/10.1007/s11192-013-1027-3

Bar-Ilan J. Evaluating the individual researcher — adding an altmetric perspective. Research Trends. 2014. No 37. P. 31—34. https://www.researchtrends.com/issue-37-june-2014/evaluating-the-individual-researcher/ (last accessed: 25.05.2020).

Costas R., Nane G.F., Larivière V. Is the Year of First Publication a Good Proxy of Scholars’ Academic Age? Proceedings from 15th International Society of Scientometrics and Infometrics Conference. Istanbul, 2015. Р. 988—998.

Pew Research Center, September, 2015. The Whys and Hows of Generations Research. Retrieved from https://www.pewresearch.org/politics/2015/09/03/the-whys-and-hows-of-generations-research/ (last accessed: 25.05.2020).

Larson, R. C., Diaz, M. G. Nonfixed Retirement Age for University Professors: Modeling Its Effects on New Faculty Hires. Service science. 2012. No 4(1). P. 69—78. https://doi.org/10.1287/serv.1120.0006

Hanlon S.M. Scientists who leave research to pursue other careers in science are still scientists. Proc. Natl. Acad. Sci. U.S.A. 2019. No 116. 17624. https://doi.org/10.1073/pnas.1909427116

Мильнер Б.З. Теория организации: учеб. 4-е изд., пер. и доп. М.: Инфра-М, 2005. 648 с.

Published

2024-10-07

How to Cite

Бублик , С. (2024). An An Assessment of Historical Trends in the Formation of the Age Structure of Humanitarian Researchers over 100 Years. Science and Science of Science, 1(111), 44–62. https://doi.org/10.15407/sofs2021.01.044

Most read articles by the same author(s)