Lost in Transition: The Unseen Struggles of Sexual and Gender Minorities during Migration
Bibliographic record
Abstract
This research aims to investigate the victimisation of sexual and gender minority (SGM) migrants, focusing on Canadian and Ukrainian student perception and perspectives. Through in-depth interviews with six students from MacEwan University and Ukrainian Catholic University, perceptions regarding SGM migration process were explored. Four intersecting themes emerged: "Hierarchy of social problems", "Institutional influence", "Othering" and "Society requiring change." Analysis reveals the prevalent influence of cis-heteropatriarchy and colonialism on societal perceptions, contributing to further SGM migrant victimisation. The study underscores the need to acknowledge and address these power structures to mitigate harm during migration. The research enhances understanding of societal influences on SGM migrant experiences, facilitating future efforts to address structural oppression. Ethical considerations were paramount, ensuring participant confidentiality and minimising risks.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".