Antecedents and consequences of LGBT individuals’ perceptions of straight allyship.
Bibliographic record
Abstract
= 319, with nationally representative characteristics), an allyship scale was developed and validated for general and specific relational contexts, respectively. Study 2b also showed that LGBT individuals' perceptions of close others' allyship were positively associated with their own well-being and relationship quality with the close other. Study 3, an experiment, demonstrated that nonprejudice and action had an interactive effect on perceived allyship, such that action increased perceived allyship more when prejudice was low (vs. high). Study 4 was a weekly experience study of LGBT participants and an outgroup roommate. Perceiving one's roommate to be a good ally predicted higher self-esteem, greater subjective well-being, and better relationship quality with the roommate, both between and within participants. Furthermore, perceived allyship in 1 week was associated with increases in LGBT individuals' mental health and relationship quality with the roommate the following week. This research advances knowledge about what allyship means to LGBT individuals and identifies intra- and interpersonal benefits of allyship. (PsycInfo Database Record (c) 2023 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 | 0.006 |
| 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 | 0.000 |
| 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".