Bits of Falling Sky and Global Pandemics: Moral Panic and Severe Acute Respiratory Syndrome (SARS)
Bibliographic record
Abstract
Whether it's a story about crime, the weather, politics, Hollywood celebrities, or public health, sensationalistic and exploitative coverage is a media staple. The mass media's coverage of the outbreak of Severe Acute Respiratory Syndrome (SARS) in the spring of 2003 was no exception. The media's construction of the source, virulence, and transmissibility of this disease, a previously unknown cousin of the common cold, diverged considerably from its medical realities and contributed to a widespread though short-lived moral panic. Drawing on work in the areas of the sociology of health and critical criminology, this article explores the claims-making activities behind the SARS “epidemic.” Specifically, it addresses how threats to the public well-being are manufactured by the media and how these threats draw upon past and present cultural myths of dangerous “others” and contribute to unwarranted public fear, intolerance, and distrust.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".