Étude comparative entre le test de Zulliger et six échelles psychométriques avec un échantillon non clinique d’adultes québécois
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cette étude évalue les critères de validité et de fidélité du test de Zulliger et propose des normes établies sur un échantillon de 546 étudiants universitaires (H = 20,5% ; F = 79,5%), âgés de 18 à 66 ans ( M = 23,31, ET = 7,31), dans un contexte francophone. À l’aide d’une analyse corrélationnelle, 6 indices du test de Zulliger sont corrélés à 6 mesures psychométriques pour évaluer leur niveau d’association. Cette analyse révèle de faibles coefficients de corrélation (-0,01 < r s < 0,08), suggérant des problèmes de validité de construit. La fidélité interjuges est très satisfaisante (0,90 < ϰ < 0,99). Malgré certaines limites, cette recherche propose des normes francophones, permettant des interprétations pour les études futures.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.012 |
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 it