Progressin des unions libres et avenir des familles biparentales
Bibliographic record
Abstract
Former une union, avoir un enfant, connaître une séparation constituent des moments clés de la vie des femmes. La rupture d'une union n'est jamais chose facile mais les conséquences sont nettement plus lourdes lorsqu'elle met en jeu des enfants. Pour cette raison, le présent article s'intéresse à l'issue des premières unions fécondes conclues par diverses générations de Canadiennes, en prenant la naissance du premier enfant comme point de départ de la trajectoire familiale. Après avoir documenté l'évolution des modalités de formation des familles en fonction du cheminement conjugal suivi, oncherchera à vérifier jusqu'à quel point les changements observés influencent les chances des femmes de vivre une rupture d'union et de connaître la monoparentalité. Ce faisant, on tentera de dégager certaines indications sur le sens que revêt dorénavant l'union libre et sur l'avenir des familles biparentales.
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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 | 0.002 | 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 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".