“We Rise Together, Let’s Do This”: Exploring the Lived Experiences of East Asian Bisexual Youth in Canada
Bibliographic record
Abstract
Over the last several decades, research by and about 2SLGBTQIA+ people and racialized people has flourished. Yet East Asian bisexual youth exist at an intersection of invisibility in literature. This study addressed the gap by qualitatively exploring the lived experiences of East Asian bisexual youth in Canada, particularly in relation to their ethnic and sexual identities. Constructivist grounded theory methods were used. Semi-structured interviews were conducted via Zoom video-conferencing with 10 youth (aged 23–29) who self-identified as East Asian, bisexual, and residing in Canada. Four core themes emerged from data to capture how youths developed their identities, encountered minority stressors, coped with stressors, and celebrated uniquely positive aspects of their lived experiences. Findings underscored the vibrancy and complexity of East Asian bisexual youths’ lives, and a mid-level theory was proposed to illustrate factors that shaped their daily experiences. Limitations, clinical implications, and future directions for this study 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".