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Record W2921448973 · doi:10.1177/0042098018814725

A small upland city gets a big make-over: Local responses to state ‘modernity’ plans for Lào Cai, Vietnam

2019· article· en· W2921448973 on OpenAlexaff
Youssef Henein, Thi‐Thanh‐Hiên Pham, Sarah Turner

Bibliographic record

VenueUrban Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsMcGill UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsVisionModernityLivelihoodState (computer science)PopulationPoliticsUrbanizationGeographyColonialismUrban planningBeijingEconomic growthPolitical scienceSociologyEconomyChinaEconomicsArchaeologyLawAgricultureCivil engineeringDemography

Abstract

fetched live from OpenAlex

Since 1986, the Socialist Republic of Vietnam has undergone tremendous upheavals in urban growth, city planning and market integration. Yet the complex transformations underway in small cities and towns, especially those in uplands regions, and their impacts on residents’ livelihoods, have been relatively ignored to date in the academic literature. Drawing on small cities and everyday politics concepts, we examine the contested relationships between a socialist state bent on completing a major urban make-over for an upland small city, and the reactions and strategies of local residents. From its historical roots as a small border trading post and colonial garrison town in the late 1800s, Lào Cai has now grown to be a key node on the Greater Mekong Sub Regions’ Eastern Corridor. Urban planning has taken a distinctively ‘modern’ turn since the early 1990s, and the contemporary city reflects a curious blend of socialist urban planning ideals, state visions of modernity and the everyday realities of the local population. Great efforts are being made by city officials and developers to copy the urban forms of Vietnam’s large low-land cities, while concurrently ignoring many of the basic needs of the local population, revealing sharp inequalities. Nonetheless, residents are subtly pushing back against the state’s plans via a range of strategies that also highlight the nuances of inhabiting a small upland 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.320
Teacher spread0.243 · 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.

Study designNot applicable
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

Citations10
Published2019
Admission routes1
Has abstractyes

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