Ontosystemic and Microsystemic Conditions toward Inclusive Education of Students with Emotional and Behavioral Disorders in Quebec Primary School
Bibliographic record
Abstract
Using the ecological model of Bronfenbrenner (1979), the purpose of this study was to document the perceptions of primary school stakeholders concerning the favorable and unfavorable conditions that support inclusive education with student presenting emotional and behavioral disorders (EBD), more specifically about the characteristics of the students (onto) and the school environment (micro). Based on a qualitative interpretative approach, interviews were conducted with 58 school stakeholders at five Quebec primary schools. The results of content analysis for ontosystem showed that school stakeholders perceived the characteristics of students with EBD from a deficit perspective, which relied on perceptions that students do not have sufficient skills for inclusive education to be considered. From the microsystemic perspective, participants reported that inclusive education is fostered by the quality of relationships between students and school stakeholders, the educational practices, and the needs of support from paraprofessionals. The results underline the complexity surrounding key conditions to successfully realizing the project of inclusive education for students having EBD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".