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Record W4390096912 · doi:10.1080/23748834.2023.2286727

Ontological foundations of urban health policy ideas: the case of planning Sydney’s Western Parkland City

2023· article· en· W4390096912 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

VenueCities & Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversité de MontréalResearch Canada
Fundersnot available
KeywordsAgency (philosophy)Urban planningScale (ratio)Regional scienceSociologyPlace identitySustainable developmentKey (lock)Environmental planningPolitical scienceGeographySocial scienceCivil engineeringEngineeringComputer scienceCartography

Abstract

fetched live from OpenAlex

This case study examines the ontological backgrounds of urban health policy ideas in planning the Western Parkland City, a large-scale regional development project in Sydney, Australia. Using an empirical approach, the study identifies seven key urban health policy ideas and analyses the nature of these ideas using urban health ontological frameworks. The dominant ontological paradigms appear as the medical-industrial and urban health science paradigms with strong alignment with the sustainable urban development and healthy urban planning research traditions. Additionally, the dominant ideas adopt a view of systems that is complicated more than complex, favour change driven by structure rather than agency, and involve perspectives that transcend across multiple scales. These findings highlight the importance of recognising the influence of paradigms in shaping policies and the need for transdisciplinary approach to policymaking.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.121
GPT teacher head0.454
Teacher spread0.333 · 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