L’orientation scolaire et professionnelle des femmes cadres : des choix scolaires et professionnels aux premières expériences du travail d’encadrement
Bibliographic record
Abstract
Cet article vise à dégager et à analyser les expériences et les évènements qui caractérisent les parcours de formation et d’insertion professionnelle des femmes cadres à la lumière des apports d’une théorie des parcours de vie professionnelle et d’une théorie du travail vivant. La recherche mobilise une démarche méthodologique qualitative à partir d’entrevues individuelles effectuées auprès de 51 femmes cadres. Les résultats témoignent notamment de la diversité des domaines d’études initiaux et des entrées indirectes dans l’encadrement. Ils permettent de réexaminer la compréhension des processus d’insertion professionnelle et de les transposer du côté des démarches d’accompagnement en counseling et orientation.
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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 | 0.002 | 0.005 |
| 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 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".