Expériences positives de l’intégration scolaire en Suisse francophone : points de vue d’enseignant·e·s sur les facilitateurs et obstacles
Bibliographic record
Abstract
Dans un contexte où la mise en oeuvre de l’intégration scolaire représente un défi pour de nombreux enseignant·e·s, cette contribution explore les facteurs favorisant ou entravant un vécu positif de cette expérience. Basés sur une analyse thématique de récits d’enseignant·e·s suisses francophones, les résultats indiquent que les expériences positives sont facilitées par les compétences des élèves perçues par les enseignant·e·s ainsi que par la mise en place de pratiques collaboratives, alors que les comportements perturbateurs des élèves et l’accès difficile aux ressources les entravent. Plus généralement, les discours révèlent des tensions entre une vision sociale/inclusive et médicale/intégrative de la scolarisation des élèves ayant des besoins particuliers, la seconde contribuant au maintien d’une posture externalisante des acteur·rice·s.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| 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".