Space for Queer and Trans Youth? Reflections on Community-Based Research in Montreal
Bibliographic record
Abstract
This article focuses on the process of conducting community-based geographic research with queer and trans youth. It is based on a research project that investigated the spatial experiences of adolescents between 14 and 18 years of age who attended Project 10, an out-of-school LGBTQ (lesbian, gay, bisexual, transgender, queer) community support organization for youth in Montreal, Canada. The authors examine the ways in which working within this community space shaped the research process and how it functioned as a site of critical geographic inquiry. The article highlights the process of gaining access to this population, the methodological particularities of working with queer and trans* youth support groups and, finally, how conducting research in an LGBTQ community space facilitated the research process. The objective is to reflect on the possibilities and limitations of this site in terms of conducting geographic research that considers the lives of queer and trans* adolescents.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".