Alternative Education within an Inclusive System: A Participatory Case Study of A Secondary Alternative Education Program on Prince Edward Island
Bibliographic record
Abstract
This participatory case study investigated an alternative education program for students considered at risk of dropping out of school in Prince Edward Island. The case study sought to reveal how the program changed students' experience of school, the different teaching practices used by the program teachers, and the elements of this program that could be applied to other programs in public education. The study followed a small group of at-risk students participating in the tier one cohort of an alternative education program in a Prince Edward Island high school. The study also presents data from the cohort teachers, resource teacher, youth worker, and principal of this program. This study took a constructivist theoretical frame and data were gathered in the following ways: personal observations; student focus groups; staff focus group; individual interviews with the principal and youth worker; and one teacher's diary. Data analysis followed Patton's (2002) first cut, the constant comparison method, and the theory of convergence. The findings of this study supported the continuation and improvement of the cohort program. Recommendations for improvement included continuation of the breakfast and lunch programs; assignment of cohort teachers before other placements; continuation of resource support in afternoon classes; an increase professional development opportunities for teachers; development and implementation of meaningful, current, real-world curriculum for students; implementation of a employment placement; addition of a personal development course; and development of supports for working students.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".