L'Echelle des Orientations Generales a la Causal ite: Validation canadienne francaise du General Causality Orientations Scale
Bibliographic record
Abstract
Alors que la motivation intrinseque et l'autodetermination ont ete etudiees selon une perspective experimentale depuis plusieurs annees, ce n'est que tout recemment que ces concepts ont ete consideres d'apres l'approche de la personnalite. Dans cette optique, un questionnaire psychologique qui s'avere important est celui du General Causality Orientations Scale (GCOS) de Deci et Ryan (1985b). Le GCOS est base sur la theorie de l'autodetermination de Deci et Ryan (1985a) qui stipule qu'il existe trois orientations relativement stables concemant l'initiation et la regulation du comportement, soit les orientations d'autonomie, de controle et impersonnelle. L'orientation d'autonomie decrit a quel point les individus initient et reglent leurs comportements avec choix et buts autodctcrmines. L'orientation de controle caracterise une perception que le comportement est initie et regie par des stimuli controlants. Enfin, l'orientation impersonnelle decrit a quel point les gens n'ont pas d'impact sur leur environne-ment parce que croyant etre inefficaces dans l'atteinte de certains resultats vises. Le GCOS mesure l'orientation des individus sur chacune de ces trois dimensions. Deci et Ryan (1985b) ont demontre que I'instrument est valide et fidele. Le but de la presente recherche etait de valider le GCOS en franc.ais. La version francaise de I'instrument fut obtenue par le biais de traductions renversees et de rencontres en comite (Brislin, Lonner, & Thorndike, 1973). ftr la suite, les proprietes metrologiques et la validite de
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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 | 0.030 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".