A journey of transitions: A study of self-acceptance among LGBTQ international students in North-American post-secondary settings
Bibliographic record
Abstract
Sexual minority students face higher stress and environmental adversities than their heterosexual counterparts. Despite a higher prevalence of sexual minorities among individuals considered gifted/highly intellectual, the intersection between these two remains underexplored. Even less known is any perspective outside North America. The current study interviewed eight gifted, sexual minority international students pursuing post-secondary degrees in North America, who were raised and born in a conservative country that has banned LGBTQ rights and criminalized LGBTQ activism. Using a grounded theory approach, the current study describes the process of, and identifies key environmental factors in North America that help with, self-acceptance. The results suggest that the long and complex process of self-acceptance consists of three stages: vague realization, fitting their experience with labels, such as gay and bisexual, and coming out to close friends and family members. The ubiquity of the rainbow flags and other symbols, counselling services available, public and in-class discussions about sexual minorities were found to give sense of security that ultimately supported the undoing of internalized homophobia (a common experience due to the hostility of their country against minorities in general). Further investigations are needed to translate this knowledge to inform educational and advocacy practices.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| 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".