The behavioural research agenda in global health: An advocate's legacy
Bibliographic record
Abstract
Two of the disciplines that have come to infuse global health with some of its current vibrancy are epidemiology and anthropology, disciplines that focus, in one way or another, on the causal importance of human behaviour in socio-political, ecological, evolutionary, and cultural context. One of the little-known stories in the history of twentieth century global health involves the works of a number of pioneering interdisciplinary scholar-practitioners, who urged a synthesis of epidemiological and anthropological perspectives in what was then called 'tropical medicine'. One of these pioneers was Frederick L. Dunn, who forwarded lasting insights about the importance of human behavioural research in understanding infectious disease. This article provides a historical-biographical accounting of Dunn's contributions to public health in the second half of the twentieth century, arguing that his persistent advocacy of multi-level, social behavioural research and his notion of 'causal assemblages' were critical in the early development of the twentieth century discipline of global health.
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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 | 0.102 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.071 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.025 | 0.039 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".