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Attitudes Toward Women in Government

2023· book-chapter· en· W4377037714 on OpenAlexaboutno aff
Melanee Thomas, Valérie-Anne Mahéo, Guillaume Bogiaris

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsCabinet (room)PoliticsWelfarePolitical scienceGovernment (linguistics)Public administrationGender studiesSociologyGeographyLaw

Abstract

fetched live from OpenAlex

Abstract The experiments reveal some differences across provinces regarding candidate gender’s effect on evaluations, particularly to be a minister, since in Alberta the woman receives a more favorable evaluation, and in Quebec the man does. Overall, however, party has a larger effect than gender, via party issue ownership and a strong party in-group effect, and young adults in both provinces view women as capable for diverse posts and in stereotypically masculine policy areas. Broad acceptance of women as leaders is incongruent with the relatively low level of incorporation of women into high-profile ministerial and party leader posts in national politics, although at the time of the experiment Alberta did have a woman premier and parity cabinet, and Quebec had recently had a woman premier and women in powerful provincial cabinet posts. Women’s acceptance as leaders also fits with the large role social welfare policy plays in Canadian national and provincial politics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.254
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.086
GPT teacher head0.336
Teacher spread0.250 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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