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Record W2036966293 · doi:10.1080/00420980500452458

Global Cities and the Spread of Infectious Disease: The Case of Severe Acute Respiratory Syndrome (SARS) in Toronto, Canada

2006· article· en· W2036966293 on OpenAlex
S. Harris Ali, Roger Keil

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Studies · 2006
Typearticle
Languageen
FieldMathematics
TopicCOVID-19 epidemiological studies
Canadian institutionsYork University
Fundersnot available
KeywordsOutbreakGlobalizationContext (archaeology)Public healthInfectious disease (medical specialty)DiseaseEconomic growthDevelopment economicsEconomic geographyEnvironmental healthGeographyPolitical scienceVirologyMedicineEconomics

Abstract

fetched live from OpenAlex

The outbreak of severe acute respiratory syndrome (SARS) in Toronto and other cities in 2003 showed a heightened sensitivity of places in the global economy to rapid changes brought on by the acceleration of social and ecological relationships. The spread of the SARS virus may be a predictable consequence of these processes. The paper investigates how processes of globalisation have affected the transmission and response to SARS within the context of the global cities network. Little work has been done on the relationship of global city formation and the spread of infectious disease. Arguing that this relationship may be central to understanding the intricate capillary structures of the globalised network, the paper focuses on how pathogens interact with economic, political and social factors. These relationships exist both in the network and in global cities themselves, thereby posing new issues for public health and epidemiological efforts at disease containment and tracking.

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)0.002
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 score0.291
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.064
GPT teacher head0.355
Teacher spread0.291 · 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