Entretien avec Cécile Van de Velde: « Sous la colère, les épreuves du devenir adulte en monde néolibéral »
Bibliographic record
Abstract
Specialiste de la jeunesse et des âges de la vie, Cecile Van de Velde est professeure de sociologie a l’Universite de Montreal, titulaire de la chaire de recherche du Canada sur les inegalites sociales et les parcours de vie, et membre de l’Ecole des hautes etudes en sciences sociales (EHESS). Elle a mene des travaux comparatifs sur la jeunesse en Europe avant de s’interesser aux mobilisations des jeunes de ces dernieres annees dans les pays developpes, du « Printemps Erable » au Canada a « Nuit debout » en France. Elle est notamment l’auteur de « Ce qui est source de colere chez les jeunes, c’est de ne pas pouvoir choisir » (AlterEcoPlus, 24 mars 2016), « Les voies de l’autonomie. Les jeunes face a la crise en Europe » (Regards, n° 48, novembre 2015) et d’un ouvrage a paraitre : Coleres. Ce que la jeunesse nous dit de ce monde.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".