Alberta High School Counsellors’ Knowledge of Homosexuality and Their Attitudes Toward Gay Males
Bibliographic record
Abstract
In this study we investigated Alberta high school counsellors’ knowledge about homo‐ sexuality and their attitudes toward gay males. Three questionnaires were mailed to 648 high school counselling centres; 223 individuals returned the completed questionnaires. Most counsellors attained low scores in measured homo‐negativity and high scores regard‐ ing knowledge of homosexuality. Results from a Pearson correlational analysis indicated a negative significant relationship between the level of knowledge about homosexuality and homo‐negativity, supporting other researchers’ findings that higher levels of knowledge may be accompanied by more positive attitudes. Key words: homosexual males, beliefs, mental health professionals Les auteurs ont analysé les connaissances de conseillers d’orientation scolaire du second‐ aire au sujet de l’homosexualité et leurs attitudes vis‐à‐vis des gais. Trois questionnaires ont été postés à 648 centres d’orientation ; 223 personnes ont retourné les questionnaires dûment remplis. La plupart des conseillers d’orientation ont obtenu des scores faibles pour l’homonégativité et des scores élevés pour les connaissances au sujet de l’homosexualité. Les résultats d’une analyse corrélationnelle indiquent un net lien négatif entre le niveau de connaissances sur l’homosexualité et l’homonégativité, ce qui corrobore les conclusions d’autres chercheurs selon lesquelles de meilleures connaissances peuvent s’accompagner d’attitudes plus positives. Mots clés : homosexuels, croyances, professionnels de la santé mentale
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".