Stakeholder Perspectives on Ontario's Bill 13: A Macrosystem-level Intervention Supporting Gay-Straight Alliances and Other Initiatives Affirming LGBT Youth
Bibliographic record
Abstract
Researchers have argued for the positive impact education legislation can have as a macrosystem-level intervention on the implementation of microsystem- and mesosystem-level interventions (e.g., Gay-Straight Alliances) empirically documented to support sexual and gender minority students. This paper presents the findings of a qualitative Community-Based Research study that explored the perspectives of advocates for LGBT students from Waterloo Region, Ontario, Canada, on the impact of Bill 13; a bill purportedly proposed to address the needs of minority youth in publicly-funded schools. This paper emphasizes the value of legislation that is able to both explicitly mandate the implementation of LGBT-affirming initiatives empirically recognized to promote student mental health, and provide flexibility for advocates to develop new initiatives that will meet the specific needs of their minority students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".