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Record W6989798905

Chongqing 2035 : Spatial Transformation Strategy

2019· report· en· W6989798905 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe World Bank Open Knowledge Repository (World Bank) · 2019
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsChinaYangtze riverPopulationUpstream (networking)Spatial analysisAdministrative divisionMegacity
DOInot available

Abstract

fetched live from OpenAlex

Chongqing Municipality, located in the
\n southwest of inland China and upstream of the Yangtze River,
\n is one of the largest cities in the world, with an area of
\n 82,400 km2 and population of 33.92 million
\n(Chongqing Municipal Bureau of
\nStatistics and NBS Survey Office
\nin Chongqing 2016). To put it in
\nperspective, the municipality’s area
\nis as large as that of Austria and its
\npopulation is close to that of Canada. This report is based on two analytical streams:
\n1) an assessment of Chongqing’s issues and
\nchallenges at municipality and central city
\nscales based on the trends of the past 20
\nyears, benchmarked with other provincial-level
\nmunicipalities in China and with global cities to
\nderive policy lessons for Chongqing; and
\n2) a scenario analysis comparing a Trend scenario
\nand a Compact Growth scenario for central
\nChongqing.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0080.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0040.021

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 head0.057
GPT teacher head0.343
Teacher spread0.286 · 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