Bill 27: Undermining Inclusivity in Schools and Damaging Albertan LGBTQ+ Students Mental Health
Bibliographic record
Abstract
In September 2023, a protest called the “One Million March for Children” brought parents from several major Canadian cities to protest against SOGI 123, a cross-provincial initiative to create more LGBTQ+ inclusive curriculums [1][2]. The anti-LGBTQ+ sentiment present in these protests has since been reflected in Canadian policy– particularly in prairie provinces. Most recently, in December 2024, the Education Amendment Act (Bill 27) achieved royal assent in Alberta [3]. Contrary to SOGI 123 initiatives, Bill 27 proposes a policy that will limit students’ access to education about sexual orientation, gender identity and human sexuality, and mandates parental notification if a student under 18 requests a name or pronoun change [4][5]. Using the life course perspective, cumulative inequality theory and stigma power, this paper argues that Bill 27 represents a regressive step in education policy with dire consequences for Albertan LGBTQ+ students’ mental health.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.025 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.015 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".