Intergroup bias toward “Group X”: Evidence of prejudice, dehumanization, avoidance, and discrimination against asexuals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although biases against homosexuals (and bisexuals) are well established, potential biases against a largely unrecognized sexual minority group, asexuals , has remained uninvestigated. In two studies (university student and community samples) we examined the extent to which those not desiring sexual activity are viewed negatively by heterosexuals. We provide the first empirical evidence of intergroup bias against asexuals (the so-called “Group X”), a social target evaluated more negatively, viewed as less human, and less valued as contact partners, relative to heterosexuals and other sexual minorities. Heterosexuals were also willing to discriminate against asexuals (matching discrimination against homosexuals). Potential confounds (e.g., bias against singles or unfamiliar groups) were ruled out as explanations. We suggest that the boundaries of theorizing about sexual minority prejudice be broadened to incorporate this new target group at this critical period, when interest in and recognition of asexuality is scientifically and culturally expanding.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it