Hearing “that’s so gay” and “no homo” on academic outcomes for LGBQ + college students
Bibliographic record
Abstract
Heterosexist phrases on college campuses can contribute to negative consequences among lesbian, gay, bisexual, queer, and other sexual minority students (LGBQ+), however, their relationship to academic outcomes remains under-researched. This analysis investigates hearing the microaggressions “that’s so gay” and “no homo” on academic engagement outcomes among a national sample of cisgender sexual minority college students (n = 574). The multivariable regression analysis suggest that increased exposure to hearing “that’s so gay” and “no homo” were both significantly associated with worse academic outcomes in terms of developmental challenge (p = .002 and p < .001, respectively). Greater instances of hearing “no homo” was also associated with lower college GPA scores (p = .015). Strategies for educational institutions, faculty, and students to promote more accepting campus climates and alleviate the harmful effects of hearing these phrases are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".