CONTRIBUTIONS FEMMUNIQUES : QU’APPORTENT LES FEMMES AU GÉNIE ?
Bibliographic record
Abstract
Le génie a longtemps été un domaine d'études et de carrières réservé aux hommes [29]. Nous menons une étude pancanadienne auprès d’ingénieurEs et de futurEs ingénieurEs, sur leur conception du génie et l’importance qu'elles et ils accordent à la contribution des femmes au génie. Il s'agit d'une étude féministe inspirée du modèle de Cronin et Roger [7] qui consiste en des entrevues semi-structurées réalisées jusque-là auprès de 70 participantEs. 
 Selon ces participantEs, les femmes apportent des perspectives qui tendent à améliorer la condition humaine et seraient plus ancrées à travailler sur des questions d’intérêts féminins. L’étude permet ainsi de mettre en évidence les contributions uniques des femmes en génie à la valorisation de la recherche, aux innovations technologiques tout en encourageant une meilleure participation des femmes en génie.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".