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 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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| 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".