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Record W1590664924 · doi:10.1002/9781444305012.ch6

The Troubled Public Sphere and Media Coverage of the 2003 Toronto SARS Outbreak

2008· other· en· W1590664924 on OpenAlexafffundabout
Daniel Drache, David A. Clifton

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsYork University
FundersYork University
KeywordsBlameFraming (construction)Media coveragePoliticsCoronavirus disease 2019 (COVID-19)Public spherePolitical scienceCrisis communicationMedia studiesNews mediaSociologyGeographyPublic relationsLawMedicinePsychologySocial psychology

Abstract

fetched live from OpenAlex

This chapter contains sections titled: Introduction Framing the SARS Crisis Methodology The Competing Functions of the News Media Stakeholders, Political Spin, and Blame The American Coverage of SARS Media Strategies in a Public Crisis SARS, the Media, and Global Cultural Flows By Way of a Conclusion Acknowledgments Note

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.399
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.254
Teacher spread0.239 · 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
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

Citations7
Published2008
Admission routes3
Has abstractyes

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