Affective responses to non-sexual imagery depicting gay men and lesbian women
Bibliographic record
Abstract
When examining negative attitudes and behaviors directed toward gay men and lesbian women (i.e., homonegativity), researchers tend to use measures that require participants to respond to belief statements. This methodology is problematic for two reasons: 1) it focuses on the social categories “gay men” and “lesbian women” and ignores the practices of relational intimacy engaged in by gay and lesbian persons (practices that, arguably, are at the crux of homonegativity); and 2) it overlooks the affective responses that sexual minorities evoke in heterosexual people. These issues were tackled in the current study. Specifically, heterosexual participants (N = 241) were asked to report their affective state using six basic emotions while viewing photos depicting male-male, female-female, and heterosexual couples. Findings demonstrated that participants, regardless of gender, reacted most negatively to images of female-female couples engaging in everyday intimacies. Theoretical explanations for these findings are explored.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".