Sacred disease of our times: failure of the infectious disease model of spongiform encephalopathy.
Bibliographic record
Abstract
BACKGROUND: Public health and agricultural policy attempts to keep bovine spongiform encephalopathy out of North America using infectious disease containment policies. Inconsistencies of the infectious disease model as it applies to the spongiform encephalopathies may result in failure of these policies. METHODS: Review of historical, political and scientific literature to determine the appropriate disease model of spongiform encephalopathy. PRINCIPAL FINDINGS: Spongiform encephalopathy has always occurred sporadically in man and other animals. Hippocrates may have described it in goats and cattle. Transmission of spongiform encephalopathy between individuals is too uncommon for it to be usefully considered an infection. Spongiform encephalopathy is a somatic disorder whose dissemination within a host or transmission between individuals is more like cancer than infectious disease. Spongiform encephalopathy transmission within a species is facilitated in comparison to transmission between species so that cannibalism may amplify the prevalence of the disease. CONCLUSION: Agricultural policy should be directed toward an absolute prohibition on occult cannibalism and away from surveillance, quarantine and slaughter, the principal measures of infectious disease containment used to control bovine spongiform encephalopathy.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".