Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<JATS1:p>A detailed exploration of leadership problems that can develop during public health crises such as the anthrax attacks, SARS, and Mad Cow disease.</JATS1:p> <JATS1:p>An imminent threat to the public health, such as the swine flu outbreak, is no time for a muddled chain of command and contradictory decision making.Who's In Charge? Leadership during Epidemics, Bioterror Attacks, and Other Public Health Crisesexplores the crucial relationships between political leaders, public health officials, journalists, and others to see why leadership confusion develops.</JATS1:p> <JATS1:p>Who's In Charge?begins by looking at the overarching issues of leadership, public health administration, and the threats of bioterrorism. It then examines five recent emergencies—the 2001 anthrax attacks and 1993 cryptosporidium outbreak in the United States, the 2003 SARS outbreak in Toronto, the 2001 foot-and-mouth disease crisis, and the decade-long battle against Mad Cow Disease in the U.K. A perfect text for schools in public health, or as a reference for elected officials at every level of government, the book shows how each event developed step-by-step to pinpoint specific leadership issues. Engaging and absorbing, the work presents official reports, medical literature, first-person accounts from officials and journalists, and discussions of the role of law enforcement and the military during health care emergencies.</JATS1:p>
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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 it