Les jeunes dans les politiques des conseils régionaux : cartographie d’une prise en compte entre secteurs, population et territoire
Bibliographic record
Abstract
Cet article explore les modalités selon lesquelles les conseils régionaux, en France hexagonale, mettent en œuvre des politiques en direction des jeunes et inscrivent cette catégorie populationnelle comme enjeu de gouvernance. Il analyse, tout d’abord, l’évolution du champ de compétence des conseils régionaux dans la prise en compte des jeunes, à travers l’observation de différents dispositifs leur étant spécifiquement dédiés et l’étude des politiques menées dans les domaines de l’éducation et de l’orientation. Il montre, ensuite, comment les conseils régionaux s’approprient de manière différenciée le rôle de collectivité « cheffe de file » en matière de « politique de la jeunesse » que leur confère la loi depuis 2017, tout en soulignant les formes de mise à distance des jeunes dans ces processus.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".