Bibliographic record
Abstract
S’appuyant sur le suivi qualitatif de 34 lycéens en cours d’affectation sur Parcoursup, cet article propose une lecture de ce dispositif en tant qu’épreuve, défi standardisé. En France, les difficultés relatives à l’orientation des bacheliers vers l’enseignement supérieur aboutirent en 2018 à la réforme sur l’orientation et la réussite des étudiants dans laquelle s’inscrit Parcoursup. Si le dispositif antérieur « admission post-bac » apparaissait injuste du fait du tirage au sort pratiqué dans certaines universités, Parcoursup peine à répondre à ces enjeux de justice à cause de son opacité. Plus encore, du fait de l’absence de hiérarchisation des vœux par le candidat, la procédure les plonge dans des horizons temporels moins bornés et plus diffus via des listes d’attente, dont les difficultés sont différemment appréhendées d’un individu à un autre.
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 | 0.010 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".