“Life as Art”: Emerging Youth Networks in Hanoi and the Tree Hug Movement
Bibliographic record
Abstract
Abstract Drawing on two years of fieldwork in Hanoi, this paper explores what it means to be young and politically engaged in a post‐reform communist city that has recently integrated into the global economy and international culture. We suggest that many young people's desire to assert more playful urban lifestyles and to live their “lives as art” contributed to their engagement in the Tree Hug Movement that swept Hanoi in the spring of 2015. Using interviews with youth who were active in the Tree Hug Movement and ethnographic observations of how young people succeeded in “being” in public spaces, this paper suggests that play can easily transform into politics. Looking at the intertwinement of digital and physical urban spaces, we note how youth mobilized the Tree Hug Movement by drawing upon the same non‐confrontational tactics that they first developed to carve out a space for themselves in urban public spaces: “quiet encroachment,” affective arguments, and conflict avoidance. This, we conclude, contributed to creating new forms of political engagement that can be observed elsewhere in the global urban world.
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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 | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".