La double dimension de l'apprentissage autodirigé Contribution à une théorie du sujet social apprenant
Bibliographic record
Abstract
In this article the author lays the foundation for a conceptualization of self-direction from an analysis of its place in the debates occurring in both Europe and North America. The proposed model is grounded in two meanings of the concept: the self-determined will to learn and the abilities of learning self-regulation. Self-efficacy to learn underlies these two meanings in the proposed conceptualization of self-direction. Résumé Cet article jette les bases d'une conceptualisation de l'autodirection à partir du débat sur cette notion en Amérique du Nord et en Europe. Le modèle théorique proposé est enracine dans deux dimensions conceptuelles : la volonté autodéterminée d'apprendre d'un côté et les capacités d'autorégulation de l'apprentissage de l'autre. Le sentiment d'efficacité personnelle à apprendre est sous-jacent à ces deux dimensions dans le modèle proposé de l'autodirection.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".