Conceptualizations of Identities in Bisexual, Pansexual, and Plurisexual Communities
Bibliographic record
Abstract
Plurisexual people – individuals who are attracted to multiple genders – are at increased risk for mental health concerns. Internalized sexual stigma, that is, the internalization of negative attitudes towards one’s sexual orientation, is a key contributor to plurisexual mental health. However, extant scales of this construct are few and lack appropriate content. This study aimed to understand individuals’ attitudes towards their plurisexuality, and translate this into questionnaire items. Qualitative interviews were conducted with n = 13 plurisexual people and n = 3 mental health clinicians. Reflexive thematic analysis yielded three themes: (1) Validating vs. Doubting Myself – self-affirmation to combat identity uncertainty, (2) Owning My Truth vs. Avoiding It – accepting plurisexuality as a core part of oneself versus denying it, and (3) Celebrating vs. Shaming Myself – viewing plurisexuality as an overall positive versus negative force in one’s life. Implications for conceptualizations of internalized sexual stigma and quantitative scale development 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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 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".