Bibliographic record
Abstract
À Genève, au cours de la scolarité obligatoire, l’institution scolaire met en oeuvre des évaluations externes qui visent, notamment, à dresser un bilan des connaissances et des compétences acquises en vue de décisions de promotion, d’orientation ou de certification. Dans quelle mesure les résultats obtenus par les élèves à ces épreuves dépendent-ils des caractéristiques individuelles de ces derniers mais aussi des caractéristiques de la classe dans laquelle ils sont scolarisés ? S’agit-il des mêmes caractéristiques tout au long de la scolarité obligatoire ? Nous tenterons de fournir des éléments de réponse à ces questions en mettant en oeuvre des modèles hiérarchiques linéaires (aussi appelés multiniveaux) sur la base des scores obtenus en juin 2006 dans le domaine de la compréhension de l’écrit.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".