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Record W2032293537 · doi:10.7202/800544ar

Job Market Boom and Gender Tide: The Rise of Canadian Social Sciences in the 20th Century

2009· article· en· W2032293537 on OpenAlexaffvenueabout
Jean‐Philippe Warren, Yves Gingras

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à MontréalConcordia University
Fundersnot available
KeywordsBoomSocial scienceSection (typography)Period (music)Political scienceSociologyHistoryEngineering

Abstract

fetched live from OpenAlex

In the last century, the development of the social sciences in institutions of higher learning has been nothing short of spectacular. This is especially true when considering the period opened by the Second World War, a time when the number of students rose exponentially, faculty body grew accordingly, and the volume of research and publications skyrocketed. Yet a global and quantitative analysis of the evolution of Canadian social sciences is still lacking. If some excellent monographs have contributed to a better knowledge of specific disciplines, Canadian scholars did not produce a global cartography of social sciences' development over the last century. This is precisely what this paper endeavours to provide. Its first section explores the rise in student enrolment (with a special analysis of gender composition), the second looks at the growth of faculty hiring and the third section suggests some hypotheses concerning the spectacular growth of social science disciplines through a discussion of Frank and Gabler's recent book, Reconstructing the University . These sections will provide an introductory global overview of the evolution of social sciences in university-level institutions in Canada. This historical analysis will help us better grasp the changes that affected Canadian social sciences through the last century.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.005
Science and technology studies0.0040.058
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.246
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2009
Admission routes3
Has abstractyes

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Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicCanadian Identity and HistoryFrench-language works237,207