Gabrielle Duchêne et la recherche d'une autre route : entre le pacifisme féministe et l'antifascisme
Bibliographic record
Abstract
Our work is a feminist biography of Gabrielle Duchene (1870-1954), feminist activist, unionist, pacifist, antifascist, fellow traveller of the French Communist Party and an innovator as a propagandist. She represents one of the few personalities of the interwar period to symbolize the ideological congruence of these movements and to have tried to find a solution, another way, to the clash of their contradictions. All along her engagement, Gabrielle Duchene will make non-conventional choices. The objective of our research is to analyze her atypical reactions in order to put the multi-marginalization process into context and to understand all the influences in the creation of her amalgamated pacifism. The term 'multi-marginalization' is employed to name the exclusion or mistrust toward Gabrielle Duchene, openly expressed or not, by more than one social or political group. These exclusions generally come from the non-conformist reactions of Gabrielle Duchene. The example of her support to the Feminist Pacifist Congress held at The Hague, in 1915, is revealing: her choice is rejected by the majority of the French bourgeois feminists. What Gabrielle Duchene proposes to transcend the divisions with is her amalgamated pacifism: the fusion of the feminist, pacifist, antifascist (procommunist) principles, allowing to reconcile the points of view and the different methods of action in a common goal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".