Alternative education on Prince Edward Island: a hybrid of ‘mainstream’ and special education
Bibliographic record
Abstract
Alternative education programmes have acted as a disciplinary practice used by schools in Prince Edward Island (PEI), Canada, as a response to providing students, especially those identified with challenging behaviours, who do not fit into ‘mainstream’ schools.This article highlights the emergence of alternative education in PEI and brings to light the complexities underpinning how a child with challenging behaviour is viewed. Through the use of Foucauldian genealogical analysis and critical discourse analysis, this research centres on the discourse of ‘alternative education’ and problematises how alternative education programmes have been put in place as a solution to the problem of the child with challenging behaviour in ‘mainstream’ schools as constituted in the 1990s in PEI, Canada.Using data generated from educational policies, government documents, and interviews with educators who worked in alternative placements and practitioners who worked with students identified as having problematic behaviour, I propose that alternative education programmes are hybrid programmes emerging from an overlapping of understanding from ‘mainstream’ education and ‘special education’.
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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 | 0.009 | 0.014 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".