L'autisme et l'analyse appliquée du comportement : portrait de la situation québécoise
Bibliographic record
Abstract
L’analyse appliquée du comportement, communément appelée AAC ou ABA, est une discipline ayant contribué au développement des services d’intervention publics destinés aux personnes autistes au Québec. Cet article vise à dresser un portrait évolutif de la situation d’une province canadienne francophone quant à la place de cette discipline relativement au développement des services en autisme, en y associant un regard sur la recherche et la formation. \n \nApplied Behavior Analysis (ABA) is a discipline that has contributed to the development of public intervention services for people with autism in Quebec. This article aims to provide an evolutionary picture of the situation of a French-speaking Canadian province regarding the place of this discipline in the development of autism services, by associating a look at the research and training associated with it. © copyright Anae
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".