Bibliographic record
Abstract
Les enfants presentant un Trouble developpemental de la coordination (TDC) rencontrent des difficultes dans la realisation d’actes moteurs. Ils sont frequemment orientes vers les ergothera-peutes dans le but de travailler certaines competences liees a la scolarite. L’approche CO-OP (Cognitive Orientation to daily Occupational Performance) a ete developpee par une equipe de recherche en ergotherapie canadienne pour permettre a ces enfants de gagner en habilete dans l’ensemble de leurs activites. Cette approche centree sur la personne utilise la decouverte guidee pour permettre le developpement des performances motrices en mettant en place des strategies personnalisees. La personne est alors invitee a travailler dans une demarche de resolution de probleme, qui sera potentiellement transferable aux autres activites du quotidien. Ce travail de recherche analyse l’interet de l’approche CO-OP dans l’accompagnement ergothe-rapique des enfants presentant un TDC. Les concepts cles sont presentes a travers une large revue de litterature internationale. Un recueil de donnees complementaires est realise a partir d’un questionnaire a destination des ergotherapeutes francais formes a CO-OP, et complete par une analyse de situations de stage. Les resultats obtenus permettent de comprendre la pratique de terrain mise en place par les professionnels, en particulier lorsque ceux-ci interviennent dans un accompagnement a la scolarite. Le croisement des donnees permet d’affirmer la pertinence de CO-OP dans l’accompagnement a la manipulation d’outils scolaires et de proposer un outil pilote specifique (TOUCS) facilitant l’auto-determination des objectifs lies a la scolarite.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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) | 0.014 | 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".