Psychometric Properties of the Social Appearance Anxiety Scale Among Canadian Gay and Bisexual Men of Color
Bibliographic record
Abstract
Gay and bisexual men (GBM) are an underexamined population in body image research, given the relatively high levels of body dissatisfaction reported among GBM compared with that of heterosexual men. However, distress related to appearance among GBM may not be exclusive to anxiety about having a perfect physique. The present study used the 16-item Social Appearance Anxiety Scale (SAAS; Hart, Flora, et al., 2008) in a racially diverse sample of 389 GBM of color to examine the psychometric properties of a measure of anxiety about being evaluated for one’s overall appearance. Similar to other studies of undergraduate students (e.g., Levinson & Rodebaugh, 2011; Levinson et al., 2013), the SAAS had a unifactorial structure and was highly internally consistent. Social appearance anxiety was highly correlated with anxiety and body image dissatisfaction. Social appearance anxiety had moderate to large correlations with other established measures of body image dissatisfaction and psychological distress. Racist experiences were associated with social appearance anxiety above and beyond correlations of social appearance anxiety with anxiety and body image dissatisfaction. The present study also extends beyond previous research on body image and anxiety among GBM by demonstrating the importance of minority stress-related variables that go beyond sexual orientation, such as racism experiences. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".