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Record W4283032823 · doi:10.1177/00420980221086371

Creative hubs in Hanoi, Vietnam: Transgressive spaces in a socialist state?

2022· article· en· W4283032823 on OpenAlexafffund
Danielle Labbé, Celia Zuberec, Sarah Turner

Bibliographic record

VenueUrban Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsMcGill UniversityUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyGovernmentalityCreative cityThe artsContext (archaeology)State (computer science)AutonomyPoliticsCreative industriesGovernment (linguistics)Media studiesPolitical economyPublic relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Vietnam's capital city has recently witnessed the emergence of a new type of cultural space akin to what have been labelled creative hubs in other contexts: that is, locales that foster creation, collaboration, community engagement and business development in the cultural sector. During the 2010s, Hanoi saw a proliferation of small-scale, art-oriented creative hubs, most of them community-led and developed without state funding. In a context marked by a government historically wary of contemporary and experimental arts, these spaces face various forms of state control ranging from the censorship of events, to stiff fines or even closure. Despite these barriers, creative hubs have become important sites for the gathering and formation of Hanoi's contemporary arts scene and countercultures. Based on over 80 interviews conducted in 2019, this paper investigates the motives behind the rise of these spaces in Hanoi and the political engagement techniques their founders, operators and users employ to remain in operation. Drawing on the notion of 'informal life politics', we argue that creative hubs seek to provide spaces of (partial) autonomy from governmentality in Hanoi. We further find that artists, intellectuals and other creative individuals use these spaces to challenge state controls. They do so not by lobbying formal institutions for policy changes, but instead by enacting the more open and free socio-cultural milieu they seek, from the bottom up.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.156
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.350
Teacher spread0.273 · 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 teacher head, 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

Citations9
Published2022
Admission routes2
Has abstractyes

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