“I’m Never Really My Full Self”: Young Bisexual Women's Perceptions of their Mental Health
Bibliographic record
Abstract
Young bisexual women report worse mental health outcomes in comparison to young heterosexual and lesbian women. Although these mental health disparities have been documented consistently in recent research, few researchers have investigated how young bisexual women understand their mental health and perceived factors that influence mental health disparities within their communities. Understanding more about how young bisexual women perceive their mental health can help direct the development of interventions aimed at addressing these health disparities. This article addresses a qualitative community-based research project where 35 young bisexual women discussed their perceptions of their mental health, challenges and supports to their mental health, and suggestions for change. Analysis of the data indicates that young bisexual women perceive monosexism and biphobia as significant challenges to their mental health at the institutional, community, interpersonal, and intrapersonal level.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".