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Record W2062597359 · doi:10.1016/s0840-4704(10)60224-4

Public Health in the Public Interest

2003· editorial· en· W2062597359 on OpenAlexaboutno aff
Gerald H. Dafoe

Bibliographic record

VenueHealthcare Management Forum · 2003
Typeeditorial
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPublic interestBusinessPublic relationsMedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

he SARS outbreak has been both a crisis and an opportunity for Canada, and for Canadians. The full extent of the crisis can not be quantified, but more than 40 people died. Thousands of public health and healthcare workers dedicated untold hours working under trying conditions to deal with a new disease for which neither cause nor cure were certain. Additional thousands of people lost income as quarantine measures required their absence from paid employment. The economy of Toronto and the entire country was damaged as income expected from a normal summer of tourism fizzled. The ability of governments and institutions to work together, to manage combinations of public and clinical health approaches, was challenged.

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)0.008
metaresearch head score (Gemma)0.033
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.034
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0030.003
Scholarly communication0.0110.007
Open science0.0040.002
Research integrity0.0340.035
Insufficient payload (model declined to judge)0.0260.019

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 head0.183
GPT teacher head0.473
Teacher spread0.289 · 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
GenreEditorial

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

Citations2
Published2003
Admission routes1
Has abstractyes

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