Newspaper Coverage of SARS: A Comparison among Canada, Hong Kong, Mainland China and Western Europe.
Bibliographic record
Abstract
A quantitative analysis of newspaper coverage of SARS was conducted, where \nthe occurrence of the word SARS in newspaper articles, rather than \nnewspaper content was examined. Data were collected from six newspapers \nrepresenting Canada, mainland China, Hong Kong, and Western Europe. \nThese data were then compared with the World Health Organization’s data on \nSARS cases and SARS deaths. A brief history of SARS is also provided to place \nthe results of the study in the context of the SARS events. The analysis finds \nnot only a similarity between the two western media examined, but also a \ncontrast between the western media and the Chinese media in SARS \ncoverage. The study demonstrates the usefulness of informetric methods in \nanalyzing popular media
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".