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Record W4389498859 · doi:10.3917/parl2.026.0107

Les femmes pacifistes et les parlementaires français : l’exemple du projet de loi Paul-Boncour de 1927

2017· article· fr· W4389498859 on OpenAlexaff
Marie‐Michèle Doucet

Bibliographic record

VenueParlement[s] Revue d histoire politique · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le 7 mars 1927, la Chambre des députés française vote un projet de loi qui prévoit la mobilisation en temps de guerre « de tous les Français, sans distinction d’âge ni de sexe». Connue sous le nom de loi Paul-Boncour cette loi envisage pour la première fois en France une mobilisation féminine. Chez les pacifistes françaises, ce projet de loi provoque une vive opposition. À ce jour, peu d’historiens se sont intéressés aux réactions féminines face au projet de loi Paul-Boncour. Pourtant, il s’agit d’un moment fort intéressant du pacifisme féminin qui donne lieu à l’utilisation de méthodes de propagande à la fois novatrices et originales. Celles qui avaient jusqu’alors préféré travailler indépendamment les unes des autres reconnaissent dorénavant la force de l’action collective. Le projet de loi Paul-Boncour donne donc, pour la première fois depuis la fin de la Grande Guerre, l’occasion aux pacifistes de faire front commun devant le gouvernement français.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.812

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.007
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.048
GPT teacher head0.285
Teacher spread0.237 · 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
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
Published2017
Admission routes1
Has abstractyes

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Same venueParlement[s] Revue d histoire politiqueSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207