La participation à l'emploi des femmes apres la naissance d'un premier enfant. Colloque Pour les jeunes chercheurs, Université McGill, février 2007
Bibliographic record
Abstract
Dynamique et d Dynamique et d é é terminants de la terminants de la participation participation à à l l ' ' emploi des Canadiennes emploi des Canadiennes apr apr è è s la naissance de leur enfant s la naissance de leur enfant Objectif Objectif de de recherche recherche Apporter de nouvelles Apporter de nouvelles é é vidences empiriques vidences empiriques à à propos de la dynamique de participation au propos de la dynamique de participation au march march é é du travail des femmes apr du travail des femmes apr è è s l s l ' ' arriv arriv é é e d e d ' ' un un enfant et des facteurs qui l enfant et des facteurs qui l ' ' influencent.influencent.Retour Retour à à temps plein ou temps plein ou à à temps partiel ?(Suite) temps partiel ?(Suite) Variable Variable a, b a, b Cat Caté égorie gorie Rapports de risque Rapports de risque c c Mod Modè èle le complet complet En terminant (Suite) En terminant (Suite) Je vous remercie de votre attention.Je vous remercie de votre attention.Avez Avez -vous des questions? vous des questions?
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.006 |
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".