Woven of War-Time Fabrics: The globalization of public health surveillance
Bibliographic record
Abstract
This article considers the imbrication of war-time logics with the ideational and institutional development of public health surveillance. It suggests that, as the Cold-War–era gave way to the ‘age of globalization’, public health discourse became less concerned with ideological enemies, and more concerned with ontological enemies. The discourse of emerging infectious disease exemplifies this preoccupation and illustrates how public health surveillance, dominated by war-time logics, is both globalized and predisposed to marginalized local orders of concern. However, at the same time that militarized configurations of public health surveillance set certain tendencies in motion, local orders of concern deconstruct, contest, resist, and negotiate these tendencies. Hence, this article concludes with a call for further empirical attention by Surveillance Studies scholars to the multiplicity of local sites that enact public health surveillance.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.045 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".