Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Notes1. Arthur Kleinman and James L. Watson, eds., SARS in China: Prelude to Pandemic? (Stanford, CA: Stanford University Press, 2006).2. James L. Watson, “SARS and the Consequences for Globalization,” in SARS in China: Prelude to Pandemic?, eds. Arthur Kleinman and James L. Watson (Stanford, CA: Stanford University Press, 2006), 196–233.3. Watson, “SARS and the Consequences,” 202.4. Laura Eichelberger, “SARS and New York’s Chinatown: The Politics of Risk and Blame During an Epidemic of Fear,” Social Science and Medicine 65 (2007): 1284–95.5. Sarah Monson, “Ebola as African: American Media Discourses of Panic and Otherization.” Africa Today 63, no. 3 (2017): 3–27.6. James Fairhead, “Understanding Social Resistance to the Ebola Response in the Forest Region of the Republic of Guinea: An Anthropological Perspective,” African Studies Review 59, no. 3 (2016): 7–31.7. Arjun Appadurai, “Disjuncture and Difference in the Global Cultural Economy,” Theory, Culture and Society 7, no. 2–3 (1990): 295–310.8. Tom Gerken, “Coronavirus: Kind Canadians Start ‘Caremongering’ Trend,” BBC News, March 16, 2020.9. Watson, “SARS and the Consequences,” 196–233.Additional informationNotes on contributorsJen Pylypa Jen Pylypa is a medical anthropologist and associate professor in the Department of Sociology and Anthropology at Carleton University, Ottawa.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".