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Gender and Promotion at Canadian Universities<sup>*</sup>

2009· article· fr· W2100651238 on OpenAlexaffabout
Penni Stewart, Michael Ornstein, Janice Drakich

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of WindsorYork University
Fundersnot available
KeywordsPromotion (chess)HumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

De 1984 à 1999, pour tous les professeurs à plein temps des universités canadiennes, les modèles de temps de défaillance accéléré démontrent que le temps médian de promotion de professeur adjoint à professeur agrégé est de 0,4 année plus long pour les femmes. Il n'y a pas de pic correspondant au refus de titularisation après cinq à sept ans de service, et les augmentations salariales des promotions sont stables avec le temps. Le temps médian de promotion de professeur agrégéà professeur titulaire est d'un an plus long pour les femmes que le temps médian pour les hommes, soit 8,3 années. Les différences entre les disciplines et entre les institutions n'ont qu'un petit impact sur les évaluations des différences entre les genres dans les promotions. From 1984 to 1999, for all full‐time faculty members at Canadian universities, accelerated failure time models show that the median time to promotion from assistant to associate professor is 0.4 years longer for women. There is no peak corresponding to denial of tenure after five to seven years of service and rates of promotion are stable over time. Women's median time for promotion from associate to full professor is one year longer than the median for men, 8.3 years. Variation between disciplines and between institutions has little impact on estimates of gender differences in promotion.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.137
GPT teacher head0.285
Teacher spread0.148 · 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 designTheoretical or conceptual
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

Citations37
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicGender Diversity and InequalityFrench-language works237,207