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Record W4285727056 · doi:10.1111/1468-0424.12628

Vichy's Mass Firing of Women Teachers of Colour in the French Caribbean and its Consequences<sup>1</sup>

2022· article· en· W4285727056 on OpenAlexaff
Éric T. Jennings, Clara Palmiste

Bibliographic record

VenueGender & History · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMartiniqueContext (archaeology)PromulgationDismissalAgency (philosophy)Caribbean islandWest indiesSociologyGender studiesArrearsWork (physics)Political scienceLawHistorySocial scienceDebtEthnologyEconomicsEngineering

Abstract

fetched live from OpenAlex

Abstract This article examines the application to Martinique and Guadeloupe of Vichy's sexist law of 11 October 1940, relating to the employment of women and its impact on female teachers. We argue that Vichy showed greater zeal in applying the new regime's patriarchal law on women's work in the Caribbean than in mainland France. We examine in detail the 11 October 1940 law and the modalities of its application in the metropole and in the Caribbean, its manipulation by various actors and the arguments mobilized over the course of its promulgation in a West Indian context. Next, we consider to what degree female Caribbean teachers were impacted by these measures and analyse some of the underlying causes for their dismissal. We highlight the broader social and administrative transformations into which this particular purge fitted. Finally, we underscore the agency of fired schoolteachers as well as their resilience.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.043
GPT teacher head0.205
Teacher spread0.162 · 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 designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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