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Record W3184866665 · doi:10.1177/03091325211033652

Geographies of infrastructure III: Infrastructure with Chinese characteristics

2021· article· en· W3184866665 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Human Geography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversité de Montréal
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsChinaCritical infrastructureUrban infrastructureTransport infrastructureEconomic geographyDiversity (politics)State (computer science)BusinessRegional scienceGeographyEconomic growthEnvironmental planningPolitical scienceUrban planningTransport engineeringEngineeringCivil engineeringEconomicsComputer science

Abstract

fetched live from OpenAlex

For 25 years, China has staked its development on domestic and global infrastructure expansion. This third progress report on geographies of infrastructure explores what China’s far-reaching infrastructure venture means for critical infrastructure studies. Reviewing China’s infrastructure-driven urban growth, the Belt and Road Initiative and their links, three recommendations are advanced: (1) a reengagement with the state that takes its geographical and temporal diversity seriously, (2) an approach to infrastructure as part of a complex network of state projects with long-term ends, and (3) a concern with infrastructures of repression and confinement in wider processes of making things ‘flow’.

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)0.000
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 score0.009
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.259
Teacher spread0.256 · 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