Right-wing authoritarianism predicts prejudice equally toward “gay men and lesbians” and “homosexuals”.
Bibliographic record
Abstract
Two recent experiments found evidence for what we term the social category label (SCL) effect-that the relationship between right-wing authoritarianism (RWA) and prejudice against gay men and lesbians can be reduced or even eliminated when the target group is labeled "gay men and lesbians" rather than "homosexuals" (Rios, 2013). Although this appears a promising approach to reduce self-reported sexual prejudice, with both theoretical implications for the meaning of RWA itself and practical implications for question wording for assessing these attitudes, there are several reasons to further examine these findings, including (a) inconsistencies with extant evidence, (b) small sample sizes in the original 2 experiments, and (c) concerns with the RWA measures used in the 2 experiments. We tested the SCL hypothesis with a nationally representative sample (Study 1) and close and conceptual replications of Rios' (2013) 2 studies (Studies 2-5) using multiple measures of RWA and prejudice. Across 23 tests of the SCL hypothesis, we obtained 1 statistically significant and 1 marginally significant effect consistent with the hypothesis, 2 significant effects opposite the hypothesis, and 19 nonsignificant effects. A meta-analysis of evidence reported here and in Rios (2013) indicates that RWA strongly predicts antigay prejudice, with no significant variation by label. This confirms the typically robust association between RWA and antigay prejudice and confirms that the SCL effect is not robust. We discuss potential limitations of these studies, theoretical, methodological, and practical implications for our failures to replicate the original SCL studies, and future directions for examining social category label effects. (PsycINFO Database Record
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".