Le Plan d’Intervention au Canada et en Europe : Une Analyse Comparative Entre Cinq Systèmes Scolaires
Bibliographic record
Abstract
In North America, as well as in Europe, most countries have included in their educational policies the possibility of an individualized educational project for students with special needs during their compulsory schooling. The tool used for this is mainly an individualized education plan (IEP) set up for students experiencing academic or behavioural difficulties at school. The purpose of this article is to take a comparative look at individualized education plans from five school systems: Quebec, Ontario, France, Belgium (Wallonia), and Switzerland (Ticino canton). A comparative analysis was conducted on the IEP frameworks from these school systems. This comparative analysis sheds light on the terminology, definitions, characteristics, and components of IEPs used in five European and Canadian school systems for students with difficulties. The results show that the terminology used is specific to each school system, but the importance of planning, integration, collaboration, coordination, teaching interventions/arrangements is highlighted in all these definitions. The analysis reveals differences in the components of the IEPs among the five school systems studied. However, IEP patterns revolve around a common core of 11 components.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".