‘You’re making our city look bad’: Olympic security, neoliberal urbanization, and homeless youth
Bibliographic record
Abstract
Drawing on ethnographic research with homeless and street-involved youth in Vancouver before, during, and after the 2010 Olympic Games, this article offers a portrait of neoliberal urbanization as experienced by a city’s most marginalized residents. Taking as paradigmatic the aspirational goals of Olympic host cities to enhance their reputation as ‘global cities’, the article explores what this means for homeless youth through three processes: city cleansing, city marketing, and self-regulation. Examining how each of these are imbricated with policing and security practices, the article offers an in-depth look at how these abstractions are lived by homeless youth in the everyday. The article concludes by suggesting that marginalized young people are not the beneficiaries of Olympic legacies, despite promises made by organizing committees. In contrast, findings indicate that homeless young people are further marginalized by the Olympics, providing support for previous research that aligns mega-events with neoliberal outcomes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".