Femmes leaders du secteur communautaire : leur engagement et leur contribution au changement social
Bibliographic record
Abstract
L’article porte sur les résultats d’une recherche visant à comprendre la trajectoire d’engagement de femmes qui occupent un poste de leader rémunéré dans le secteur communautaire à but non lucratif au Nouveau-Brunswick. Ces militantes ont relaté leurs motifs d’engagement et le sens qu’elles y accordent. Elles qui s’engagent dans la défense des droits des populations vulnérables, dans une perspective de justice et de changement social — le moteur de leur engagement — sont elles-mêmes en position d’iniquité. Cet engagement dans l’amélioration des conditions de vie des personnes contribue à la cohésion sociale dans un contexte où l’État social s’effrite. Ainsi, l’engagement des femmes dans ce secteur relève de la justice sociale pour reconstruire un monde plus équitable. Il s’agit d’un double défi : redonner du pouvoir d’agir aux populations vulnérabilisées tout en reconnaissant de manière équitable la contribution de ces femmes leaders dans le secteur communautaire tant au plan social qu’économique.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".