Wild places: interstices of queer and trans* possibility in suburban Toronto
Bibliographic record
Abstract
How do queer and trans* youth survive and thrive in the precarious landscapes of the colonial–modern metropole? This paper explores the suburban interstices – in-between places – where youth create community beyond the discipline and surveillance of public space. Drawing from interviews and participatory photography with queer and trans* youth across the Greater Toronto Area, I argue that wild places on the urban periphery, such as abandoned buildings, cemeteries, urban forests, overlooked lakeshores, and overgrown interstices, afford queer and trans* youth the capacity to experiment with socialities, intimacies, and embodiments that exceed what the feminist philosopher María Lugones describes as the colonial–modern gender system. By bringing queer geography into dialogue with recent theories of wildness and the interdisciplinary literature on (settler) colonial power, I aim to expand its scope of inquiry to overlooked places across the metropolitan region where everyday practices of dwelling sustain precarious queer and trans* life. From these interstices of possibility, I contend, the seeds of alternative worlds can take root.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".