Mobiliser les méthodes mixtes pour mieux comprendre les parcours de vie des femmes sans enfant
Bibliographic record
Abstract
L’absence d’enfant dans la vie des femmes résulte de l’interaction de multiples facteurs sur les plans familial, scolaire, conjugal et professionnel, entre autres. Cette étude démontre l’apport des méthodes mixtes pour explorer la multidimensionnalité des parcours de vie des femmes sans enfant. Elle mobilise l’analyse séquentielle de données d’enquête (sequence analysis) ainsi que l’analyse qualitative thématique d’entretiens semi-directifs auprès de non-mères québécoises nées entre 1947 et 1956. Cette stratégie méthodologique débouche sur une typologie compréhensive de quatre parcours de vie différents présentant chacun une imbrication particulière des trajectoires scolaire, conjugale et professionnelle.
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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 | 0.058 | 0.083 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".