Psychometric properties of a French-Canadian translation of Achenbach's Youth Self-Report.
Bibliographic record
Abstract
La presente etude a examine la coherence interne, la validite concurrente et la fiabilite du test-retest d'une traduction canadienne-francaise du Youth Self-Report d'Achenback (Achenbach, 1991a) dans un echantillonnage non represente dans le groupe d'âge de 13 a 18 ans. Quarante-huit adolescents bilingues et soixante-quatre adolescents anglais et leurs parents ont participe. Une analyse de la variance en comparant le YSR anglais standard et le Child Behavior Checklist (Achenbach, 1991b) n'a pas revele d'effets principaux quant au sexe ou la langue de l'adolescent, mais les adolescents manifestaient davantage de pathologie que les parents. Les echelles standard et francaise du YSR avaient une correlation elevee (r = ,96-,98), et des items paralleles suscitaient des reponses semblables. Le coefficient alphabetique de Cronbach pour les echelles YSR francaises se situait entre 0,83 et 0,92, et les correlations test-retest etaient solides (r = 0,85-0,88). Les adolescents bilingues qui parlaient surtout le francais a la maison manifestaient davantage de pathologie d'internalisation quant au YSR francais qu'au YSR anglais, mais la validation externe est necessaire pour determiner lequel des rapports est plus valide. Une etude plus poussee du YSR francais dans des echantillons representes est recommandee.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".