Justice sociale et orientation scolaire : l’éclairage de l’approche par les « capabilités » d’Amartya Sen
Bibliographic record
Abstract
La liberté de choisir une orientation scolaire est socialement et inégalement distribuée. Elle est contrainte par des inégalités qui s’immiscent dans les aspirations scolaires et les préférences. Ces inégalités sont liées aux caractéristiques héritées à la naissance (appartenances sociales, genre) et aux constructions sociales (la structuration des paliers d’orientation). Le présent article théorique propose un cadre heuristique découlant des travaux d’Amartya Sen sur les « capabilités », définies par la liberté réelle dont dispose les individus d’opter pour le cours de vie qu’ils ont des raisons de valoriser (reason to value). La proposition théorique des « capabilités à s’orienter » est illustrée dans des applications scientifiques et dans le conseil d’orientation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".