The Effect of Imagined Intergroup Contact and Need for Closure on Attitudes Toward Bisexuality
Bibliographic record
Abstract
Bisexual individuals face more negative mental health outcomes than members of both homosexual and heterosexual populations. However, there is little experimental research concerned with the reduction of binegativity. 136 participants were assigned to one of two experimental conditions or two control conditions. The experimental groups read a vignette that depicted a positive interaction with a bisexual individual, while the control groups received a similar vignette where the sexuality of the individual was not made salient. Each group completed a questionnaire regarding attitudes toward bisexuality, need for closure, and a demographic survey. A significant main effect of condition on both the tolerance and stability subscales of the ARBS-FM (F(1,114)=10.796, p<.001), (F(1,114)=3.963, p<.049) was found. The effect sizes for tolerance and stability were r2=.147 and r2=.107, respectively. Need for closure did not correlate with either subscales. Implications of these results are discussed.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".