Categorical and prototypical analysis: A study on the quality-process in hospital institutions
Bibliographic record
Abstract
Le but de cette etude est de proposer et de tester un modele de la procrastination academique aupres d'etudiants inscrits a la maitrise. Ce modele propose que le lien entre le contexte interpersonnel et la procrastination academique s'explique par les processus d'evaluation reflechie et d'autoregulation. Plus precisement, ce modele postule que les croyances du directeur de recherche a l'egard de la performance de son etudiant sont associees positivement aux evaluations reflechies de l'etudiant. En retour, les evaluations reflechies sont associees negativement a un echec a l'autoregulation academique. Enfin, l'echec a l'autoregulation est associe positivement a la procrastination academique. Au total, 109 etudiants a la maitrise et 57 directeurs de recherche ont participe a cette etude. Les resultats des analyses de regression ont appuye le modele propose, ce qui souleve l'importance des processus d'evaluation reflechie et d'autoregulation pour comprendre la relation entre les croyances du directeur de recherche et la procrastination academique.
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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 | 0.012 | 0.065 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".