Addressing Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) Issues in Teacher Education: Teacher Candidates’ Perceptions
Bibliographic record
Abstract
Homophobic harassment and bullying are persistent issues in Canadian schools despite recent initiatives to improve school climate. Among the reasons is that educators feel reluctant or ill-prepared to address these issues. The purpose of this paper is to examine how teacher education can help make schools safer by addressing LGBTQ issues and homophobic bullying. After examining the issues, with a particular focus on the Ontario context, the authors report on a workshop titled “Sexual Diversity in Secondary Schools” that they conducted with teacher candidates. The findings suggest a two-hour workshop can help teacher candidates develop better understandings of how to address LGBTQ issues in schools. Recommendations are offered for creating safe spaces in schools by developing ethical knowledge among beginning teachers. Le harcèlement et l’intimidation homophobes constituent des préoccupations persistantes dans les écoles au Canada et ce, malgré des initiatives récentes visant à améliorer le climat à l’école. Une des raisons qui expliquent cette situation est le fait que les enseignants hésitent ou se sentent mal préparés pour s’attaquer à ces problèmes. L’objectif de cet article est d’étudier dans quelle mesure la formation des enseignants peut aider à rendre les écoles plus sures en abordant les thèmes d’orientation sexuelle, d’identité sexuelle et d’intimidation homophobe et transphobe. Après avoir examiné les questions (et en mettant l’accent sur l’Ontario), les auteurs décrivent un atelier intitulé « La diversité sexuelle dans les écoles secondaires » qu’ils ont présenté à des étudiants au programme de formation à l’enseignement. Les résultats portent à croire qu’un atelier de deux heures peut aider les étudiants au programme de formation à l’enseignement mieux comprendre comment aborder les questions relatives à la diversité sexuelle dans les écoles. On propose des recommandations qui visent la création de lieux surs dans les écoles en développant des connaissances éthiques chez les nouveaux enseignants.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".