Where Does the “B” Belong?: Anti-Bisexual Experiences, Self-Stigma, and Bisexual Individuals’ Sense of Belonging
Bibliographic record
Abstract
Bisexuality remains a stereotyped sexual identity in which bisexuals face prejudice from both gay/lesbian and heterosexual populations. Some bisexual individuals internalize society’s negative attitudes, resulting in an experience of self-stigma. Consequently, many bisexual individuals report a reduced sense of belonging. The current study explored whether self-stigma mediates the association between experiences of anti-bisexual prejudice and a sense of belonging within a bisexual sample (n = 529) while also identifying how experiences of anti-bisexual prejudice vary as a function of participant gender (man, woman, non-binary) and the source of prejudice (gay/lesbian or heterosexual). Self-stigma fully mediated the association between anti-bisexual experiences and a sense of belonging. Women and non-binary individuals reported more frequent anti-bisexual experiences than men, and all participants reported more frequent anti-bisexual experiences from heterosexual versus gay/lesbian sources. Efforts to improve a sense of belonging among bisexual individuals should focus on reducing anti-bisexual prejudice and anti-bisexual self-stigma.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".