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Record W3047303504 · doi:10.1080/02723638.2020.1802932

The relational co-production of “success” and “failure,” or the politics of anxiety of exporting urban “models” elsewhere

2020· article· en· W3047303504 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

VenueUrban Geography · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoliticsState (computer science)NarrativeMegaprojectChinaPolitical sciencePolitical economyExistentialismAnxietySociologyEconomicsPsychologyLawManagement

Abstract

fetched live from OpenAlex

This paper critically examines the case of the much-vaunted Singapore “model” and its export via the Sino-Singapore Tianjin Eco-city (SSTEC), a megaproject jointly developed by the Singaporean and Chinese states in northeastern China. It revolves around the central question of why, for some Singaporean officials, this export was thought to have “failed” in spite of the model’s acclaimed success globally. To address this, the paper historicizes the Singapore model, tracing undercurrents of (geo)political existentialism through Singaporean state meta-narratives that are enacted through thehistorical politics of anxiety and the practitioner politics of anxiety. It argues that categories of policy “success” and “failure” are relationally co-produced through a politics of anxiety, wherein their stakes are amplified in ways distinctive to small postcolonial city-states. Collectively, the paper emphasizes the enduring significance of (inter)state actors and structures for transnational urban policy mobilization and the limits to assumptions of post-failure policy learning.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.401

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 studies0.0000.001
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 head0.266
Teacher spread0.236 · 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