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Record W1844033367

Uncharted Territory: Policy Options for a Public Health Emergency in Canada

2015· article· en· W1844033367 on OpenAlexaboutno aff
Amy Swiffen and Mona Kayal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessGovernment (linguistics)Public healthPublic administrationPolitical scienceEmergency managementState (computer science)Civil defenseVulnerability (computing)Public relationsLawMedicineComputer security
DOInot available

Abstract

fetched live from OpenAlex

This paper analyzes the state of the law in Canada regarding preparedness and response in a national public health emergency. Although there has yet to be a nation public health emergency in Canada, such events are anticipated to arise in the future. It is therefore important to assess Canada’s legal preparedness for such an event and identify reforms to the legal structure that may be needed to facilitate response. This paper identifies the challenges that Canada’s constitutional division of powers poses to public health emergency response and assesses two policy proposals for enhancing the power of the federal government to respond in a public health crisis. The implications of the proposals are explored through a case study of the use of quarantine during the SARS crisis in 2003. The paper concludes with a discussion of how the current approach to legal preparedness addresses difficulties posed by the constitutional division of powers, but it does not take into account the role of the jurisdictional division between the government and the judiciary.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0260.013
Scholarly communication0.0170.005
Open science0.0050.008
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0140.000

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 head0.291
GPT teacher head0.512
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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