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Record W2067039446 · doi:10.1177/1075547008316219

Global Bird Flu Communication

2008· article· en· W2067039446 on OpenAlexaff
Sheldon Ungar

Bibliographic record

VenueScience Communication · 2008
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsNewspaperBird fluInfluenza A virus subtype H5N1Political scienceALARMPublic relationsAdvertisingHistoryComputer securityBusinessComputer scienceEngineeringMedicineVirology

Abstract

fetched live from OpenAlex

Drawing predominately on a once-a-day Google News Alert for newspaper coverage of the “bird flu,” this study examines global discourses on this topic in terms of alarming and reassuring coverage. Three stages of discourse are identified. The first is termed sounding the alarm, where fearful claims making predominates. The second is mixed messages, and involves a continuation of the threat with efforts to moderate it with elements of reassurance, including scientific promises and national plans to combat bird flu. The third stage is hot crisis and containment, and involves efforts to undo the most frightful elements of the avian mutation interpretative package as the H5N1 virus spreads into Europe.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.046
GPT teacher head0.360
Teacher spread0.314 · 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.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations82
Published2008
Admission routes1
Has abstractyes

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