Capital City Cruising: Surveillance, Pleasure, and Discursive Practices of Queer Communities in Ottawa
Bibliographic record
Abstract
This study investigates how men who have sex with men (MSM) discern, discuss, and defy issues of surveillance in the context of casual, public sex—also known as cruising—and how these exchanges constitute and inform subaltern counter-surveillance measures. Focusing on written exchanges by users of the queer hook-up website Squirt, I analyze how individuals share information about the safety and surveillance of cruising locations in the Greater Ottawa Area. This work concludes that surveillance and cruising is normalized, and that both police and ordinary citizens present safety risks. Because of this, great care is taken to act discreetly and not infringe on the safety of non-cruisers. Finally, environmental factors contribute greatly to both the construction and circumvention of surveillance infrastructure. The data additionally complicate surveillance realism (Dencik and Cable 2017), since cruisers accept the presence of surveillance but not the inevitable impact of it.
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 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 | 0.003 | 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 | 0.000 |
| 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".