Systematic Review of Studies Measuring the Impact of Educational Programs against Homophobia, Transphobia and Queerophobia in Secondary Schools of North America, Western Europe and Australia
Bibliographic record
Abstract
The objective of this study is to review the studies measuring the impact of extra-curricular and intra-curricular educational programs designed to reduce the prejudice, verbal, psychological and physical violence against LGBTQ students in secondary schools, and assess the degree of effectiveness of those programs to improve the situation of students from sexual minorities, as well as to change the attitude and behavior of heterosexual and cisgender students towards their LGBTQ peers. Given the inclusion and exclusion criteria, 13 studies were identified as relevant. The majority of these studies were on Gay-Straight Alliance (GSA), and the other focused on extracurricular seminars type programs (ECS) conducted by volunteers of LGBTQ associations and intra-curricular programs (ICP) administered by teachers. On one hand, the results show a significant, systematic and sustainable positive impact of GSA on both the school life of LGBTQ students and on the attitudes and behaviors of heterosexual and cisgender students toward their colleagues from sexual minorities; on the other hand, the results show a less effectiveness of ECS/ICP to reduce prejudice, verbal abuse, psychological and physical violence against LGBT 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 | 0.010 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".