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SARS in Canada and China: Two Approaches to Emergency Health Policy

2007· article· en· W2140268522 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGovernance · 2007
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsChinaResistance (ecology)Public healthState (computer science)Political scienceScale (ratio)Emergency responsePower (physics)Economic growthPublic administrationGeographyMedicineMedical emergencyEconomicsNursing

Abstract

fetched live from OpenAlex

China and Canada addressed the transnational 2003 SARS outbreak within a common, multilevel network of public‐health expertise. The two countries deployed distinct public‐health strategies, and faced distinct levels of resistance. This article addresses this comparison. During this epidemic “state of exception,” both countries adopted emergency policy instruments and overall policy styles. However, Chinese emergency boundary policing corresponded better to everyday experience than did hospital‐based screening in Canada, and China's policing targeted collectivities where Canada emphasized individual case tracking. While Canadian efforts were smaller in scale and faced infrastructural deficiencies, prior campaigns to address endemic health problems formed a basis for compliant popular subject positions. Power/resistance relations and their cultivation during endemic conditions must become the center of analyzing effective approaches to emergency planning.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.106
GPT teacher head0.400
Teacher spread0.294 · 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