Gendered Egos: Attitude Functions and Gender as Predictors of Homonegativity
Bibliographic record
Abstract
This study used a correlational design with a sample of university students to clarify the relationships between attitude functions and homonegativity with respect to gender. Classic work on attitude functions posits that attitudes serve psychological needs for the attitude holder. Herek (1986b) adapted this theory to explain attitudes toward homosexuality. Herek (1987) identified four functions: ego-defensive (defense of threats to the self), value-expressive (expression of key values), social-expressive (expression of important social norms), and experiential (based on past experiences). Results suggested that men were more likely to attribute their attitudes to the ego-defensive function. Men and women were equally likely to attribute their attitudes to the experiential function. The ego-defensive function was the best predictor of homonegativity for men and women, whether they held generally positive or generally negative attitudes toward homosexuality. The experiential function did not predict homonegativity. Participants tended to be neither very homonegative nor very ego-defensive.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".