Chômage de longue durée, transmissions générationnelles et modèles normatifs
Bibliographic record
Abstract
Depuis les enquêtes de Lazarsfeld dans les années 1930, de nombreux scientifiques ont mis en évidence les conséquences économiques, psychiques et relationnelles qu’engendre une expérience de chômage. Mais plus rares sont les études consacrées au devenir des enfants. Pourtant, la crise qui affecte les pays occidentaux depuis la moitié des années 1970 n’est pas sans poser la question de la transmission des cadres normatifs dans un contexte familial de chômage de très longue durée. À travers l’analyse d’entretiens croisés au sein de familles, cet article va tenter de démêler les fils complexes des logiques de transmission générationnelle dans un tel contexte de déstructuration du rapport au travail et à l’emploi. Deux clés interprétatives permettront de mieux cerner les enjeux personnels, familiaux et sociaux d’une crise qui perdure : la présence ou non d’une souffrance parentale et la possibilité pour le jeune de nouer des rapports de confiance interpersonnels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".