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Record W4292371224 · doi:10.1017/gov.2022.31

Gendering Cabinet Reshuffles in France and Spain

2022· article· en· W4292371224 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGovernment and Opposition · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of CanadaCase Western Reserve University
KeywordsCabinet (room)PraiseParity (physics)PrestigePolitical scienceSociologyGender studiesDemographic economicsEconomicsHistoryPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Presidents and prime ministers who form gender-parity cabinets receive positive news coverage and public praise. Cabinet reshuffles, with less attention, may offer scope to decrease the numbers of female ministers. Although research on the gendered impact of reshuffles is sparse, some studies suggest that women's presence declines during reshuffles. This article explores the gendered dynamics of reshuffles that follow initial gender-parity cabinets, asking whether the reshuffle context affects the proportions of men and women in reorganized cabinet teams. Employing a comparative case study approach, the article analyses initial gender-parity cabinets and subsequent reshuffled cabinets in France and Spain across three different presidents and prime ministers. We find that gender parity functions as a concrete floor, sustained in cabinet reshuffles, unaffected by political shocks and party system changes, and without consequence for women's appointments to high-prestige ministerships.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.255

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.265
Teacher spread0.249 · 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