L'identite distincte des ecoles catholiques
Bibliographic record
Abstract
Ce memoire decrit une recherche qualitative sur l'identite distincte des ecoles catholiques. Ancree sur les rubriques de l'enquete naturaliste de Guba et Lincoln (1982) ainsi que sur les principes de l'evaluation illuminee (illuminative evaluation) de Parlett et Hamilton (1976), cette etude de cas cherche a decerner les raisons pour lesquelles des parents non-catholiques inscriraient leurs enfants dans une ecole catholique. Quinze familles ou les deux parents sont non-catholiques et dont les enfants sont presentement inscrits a une ecole catholique se retrouvent a une reunion pour discuter de deux questions: (1) Vous avez l'option d'inscrire votre (vos) enfant(s) a l'ecole publique. Pour quelles raisons avez-vous choisi d'inscrire vos enfants a l'ecole catholique? (2) A votre avis, qu'est-ce que seule l'ecole catholique peut offrir a votre enfant? La deuxieme partie de la recherche entame une evaluation de la part de ces memes parents des facteurs ressortis de la question un. Une fois les repliques a la question un categoriees, les frequences notees et les facteurs identifies, les parents evaluent l'importance de chaque facteur en lui accordant une valeur de un (plus important) a quatorze (moins important). (Abstract shortened by UMI.)
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".