Youth-Driven Tactics of Public Space Appropriation in Hanoi: The Case of Skateboarding and Parkour
Bibliographic record
Abstract
Starting in the 2000s, there has been a rise in youth-led appropriation of public spaces in Hanoi, Vietnam. Through case studies of skateboarders and traceurs (practitioners of parkour) in two of the city’s formal public spaces, we explore and analyze the tactics deployed by these young urbanites to claim a part of the characteristically overcrowded and socio-politically restrictive public spaces of the Vietnamese capital. These case studies show that, by seeking to access public spaces for their new activities, skaters and traceurs have had to confront multiple sets of rules, imposed by not only the state, but also corporate actors and resident-driven surveillance. We find that skateboarders and traceurs deal with these forms of control largely through small-scale, non-ideological, and non-confrontational tactics. As a result, these youth practices have become normalized in Hanoi’s public spaces. These findings broaden the discourses on everyday urbanism and social-political transformations in post-socialist urban contexts, and shed light on the ways in which contemporary youths engage with the city.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".