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Defining Urban Health for Strategic Action

2025· preprint· en· W4406989183 on OpenAlexaff
José Siri, Jinhee Kim, Katherine Indvik, Evelyne de Leeuw, Carlos Dora, Franz Gatzweiler, Elsa Holm, Deljana Iossifova, Francisco Obando, Jean Simos

Bibliographic record

VenueF1000Research · 2025
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversité de Montréal
FundersWorld Health Organization
KeywordsOpen peer reviewPlant biologyAction (physics)NeurosciencePhysiologyOpen dataMedicineBiologyPolitical science

Abstract

fetched live from OpenAlex

<ns3:p>Cities play a dominant and expanding role in human lives and civilization. As such, urban health is an increasingly important facet of public, global, and planetary health, and its profound links to other areas of sustainable development make it an important nexus issue. However, there is considerable variation in how urban health is conceived and understood, including different ideas about its scope and boundaries, proper remit, subjects, protagonists, locus and sources of authority, and relationships to other rubrics. These differences derive from the complexity of urban environments and the emergence and evolution of the field of urban health from actions and perspectives spanning multiple sectors, scales, and domains. Recognizing the value of diverse viewpoints and usages, we explore and clarify several conceptual issues and debates and propose a definition of urban health as a shared basis for strategic action.</ns3:p>

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.242
GPT teacher head0.469
Teacher spread0.227 · 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
GenreCommentary

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

Citations4
Published2025
Admission routes1
Has abstractyes

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