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Record W2801702994 · doi:10.1111/ciso.12162

“Life as Art”: Emerging Youth Networks in Hanoi and the Tree Hug Movement

2018· article· en· W2801702994 on OpenAlexaff
Stephanie Geertman, Julie‐Anne Boudreau

Bibliographic record

VenueCity & Society · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMovement (music)PoliticsEthnographySociologyCommunismPublic spaceSpace (punctuation)Tree (set theory)Gender studiesMedia studiesAestheticsPolitical scienceArtLawAnthropology

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.020
GPT teacher head0.272
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2018
Admission routes1
Has abstractyes

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