Le Langage SACCADE ConceptuelMC en tant que stratégie de communication novatrice avec des élèves autistes : point de vue d’intervenantes et de parents
Bibliographic record
Abstract
La présente étude de cas s’intéresse à une approche complémentaire et novatrice permettant aux élèves autistes de développer leur compétence à communiquer. Le cadre théorique explique les caractéristiques de communication complexe de ces élèves atypiques en lien avec le Langage SACCADE ConceptuelMC (LSC). La méthodologie et l’analyse croisée étayent les données tirées des outils de collecte, soit un journal de bord, des entrevues individuelles et un entretien collectif. Les résultats mettent en évidence les enjeux de l’implantation du LSC dans une école spécialisée.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".