QUEERING CYC PRAXIS: WHAT I LEARNED FROM LGBTQI+ NEWCOMER, REFUGEE, AND IMMIGRANT STUDENT EXPERIENCES IN CANADA
Bibliographic record
Abstract
This exploratory autoethnographic study, undertaken by a White straight cisgender child and youth care practitioner, seeks to understand the experiences of LGBTQI+ newcomer, refugee, and immigrant students in Canada. It highlights the nuances of creating safe spaces for young people who experience harm due to the intersections of systemic racism, xenophobia, transphobia, and homophobia. The overarching finding of this study reveals a culture of silence. Queer newcomer, refugee, and immigrant youth in Canada are often reluctant to disclose or explore their queerness due to their fears of discrimination and violence. This fear exists notwithstanding the pride Canada takes in its efforts to protect LGBTQI+ rights. Inspired by findings from interviews with two women, one who supports LGBTQI+ newcomers, refugees, and immigrants to Canada, and one who researches policy affecting all Canadian refugee experiences, I utilized a self-reflexive deep-dive approach to learn about the events and policies that have shaped LGBTQI+ newcomer, refugee, and immigrant students’ access to postsecondary education in Canada. Central findings in this study point to barriers emerging from homonationalism, colonization, religion, culture, race, White-centred gay–straight alliances in schools, and immigration policies pertaining to sexual orientation and gender identity expression (SOGIE). These findings problematize the White, Westernized, liberal, out-and-proud policies that child and youth care practitioners are accustomed to.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.038 | 0.022 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.010 |
| 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".