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Record W1549779722 · doi:10.1111/capa.12038

Women's ministerial careers in cabinet, 1921–2010: A look at socio‐demographic traits and career experiences

2013· article· en· W1549779722 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Public Administration · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCabinet (room)Political scienceLogistic regressionDemographic economicsPublic administrationEconomic growthGeographyEconomicsMedicine

Abstract

fetched live from OpenAlex

Abstract This article probes two aspects of women's ministerial careers in federal, provincial, and territorial cabinets from 1921 to December 2010. First, we examine whether the socio‐demographic profile of women ministers differ from female legislators of the governing party. Logistic regression analysis shows that women holding cabinet portfolios differ from female legislators with no ministerial responsibilities with respect to education, parliamentary experience, and age when first elected. Women legislators elected in Q uebec, and more so at the federal level, were less likely to become ministers than women legislators nominated in other provinces. Second, we consider what portfolios women had over time, and how many different portfolios they were assigned to. The results are sobering: women ministers are still largely concentrated in socio‐cultural and socio‐economic portfolios, and most only occupy one or two of these portfolios. We conclude by identifying avenues for further research.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.268
Teacher spread0.231 · 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