From Death Sentence to Disappearance: The Invisibility of West Asian LGBTQ Refugees
Bibliographic record
Abstract
West Asian queer refugees face severe oppression, such as moral exclusion, denial of existence in their home countries, and multi-marginalization in Canada, making them invisible and one of the most understudied populations. I believe the invisibility of vulnerable populations is one of the highest levels of injustice which places them at higher risks of discrimination. \nDespite the most visible injustice, why do they remain invisible? I began to seek answers by myself through a critical autoethnography with an analytical approach throughout my journey as a West Asian queer refugee in Iran, Turkey, and Canada to tackle the reasons behind this invisibility. In the absence of a support system locally and globally for the West Asian queer refugees, simply living, surviving, and thriving is an act of resistance. This research introduces self-acceptance and self-compassion as a strategy at a grassroots level toward visibility and equality for the West Asian queer refugee.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".