Defining Bisexuality: Young Bisexual and Pansexual People's Voices
Bibliographic record
Abstract
Bisexuality is defined in a plethora of ways, including definitions based on behavior, attraction, or desire and may employ binary or nonbinary definitions. Research has not adequately addressed how young bisexual people themselves define bisexuality, whether those definitions change with social context, or whether bisexual people define bisexuality differently from pansexual people. The current study addresses these questions through an online, mixed-methods study. A total of 60 bisexual and pansexual participants aged ages 18 to 30 responded to closed- and open-ended questions regarding their definitions of bisexuality. Closed-ended responses were analyzed with a series of chi-square tests, while we conducted a summative content analysis on the open-ended responses. Results indicate that in general, bisexual and pansexual people define bisexuality similarly. Participants modified their definitions of bisexuality depending upon the social context. Implications for research 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".