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Record W2808450433 · doi:10.3828/idpr.2018.10

Contesting socialist state visions for modern mobilities: informal motorbike taxi drivers’ struggles and strategies on Hanoi’s streets, Vietnam

2019· article· en· W2808450433 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Development Planning Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMobilitiesLivelihoodVietnameseCompetitor analysisVisionState (computer science)PoliticsEthnographySociologyNegotiationPolitical scienceBusinessSocial scienceLawMarketingGeography

Abstract

fetched live from OpenAlex

As the Vietnamese socialist state privileges ‘modern’ mobilities over so-called ‘traditional’ means, the livelihoods of informal motorbike taxi drivers (locally known as xe ôm) are increasingly under threat. Drawing on the literatures of mobilities and everyday politics, and on ethnographic fieldwork with xe ôm drivers, recent app-based competitors and planners in Vietnam’s capital city, Hanoi, we argue that the state’s vision creates specific mobility experiences, rhythms and frictions for xe ôm drivers. These drivers must not only negotiate policies curbing their mobilities, excessive police fees and dangerous customers, but also new smartphone app-based competitors. Nonetheless, xe ôm drivers have reacted with subtle everyday politics to reshape their mobilities, with tactics including performing ‘identity management’ with police, information gathering via social networks and inventive efforts to build loyal customers. This paper thus highlights how mobility and access to urban streets are being framed, coproduced and respatialised in a rapidly growing socialist city.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.030
GPT teacher head0.337
Teacher spread0.307 · 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