Enjeux méthodologiques et éthiques de la recherche narrative dans la compréhension du vécu de femmes marginalisées
Bibliographic record
Abstract
Cet article pose une réflexion méthodologique et éthique sur des recherches menées auprès de groupes de femmes en utilisant l’approche narrative. En s’inspirant d’études sur le vécu de femmes en situation de polygamie et de femmes en situation de pauvreté, l’objectif est de questionner de manière réflexive notre processus de recherche et notre position de chercheures. Ces interrogations soulèvent des enjeux méthodologiques et éthiques qui nous placent, comme chercheures, devant certains dilemmes qui imposent une réflexion. Notre positionnement devant ces enjeux nous convie à intervenir de manière à soutenir la voix de femmes rencontrées dans une visée de changement social.
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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 | 0.072 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.036 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".