Death, Taxes, Public Opinion, and the Midas Touch of Mary Tyler Moore: Accounting for Promises by Politicians to Help Avert and Control Diabetes
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
Anthropologists have begun to publish ethnographic accounts of policy-making, but few have studied medical or health matters, despite broad acceptance in anthropology that "biopower" permeates contemporary societies. This article presents some findings from an ethnographic study of how diabetes gained recognition as a pressing public health problem in Canada. It underlines the importance of statistics for constituting power within and across nation states. Statistics imbricate people and things distributed across vast distances, but they still need to be generated and invoked by individuals to engender effects--as illustrated in this article by the contributions of researchers, aboriginal leaders, and an American actress, Mary Tyler Moore--in this case, the development of Canadian government policies justified in the name of averting and controlling diabetes. To make sense of these findings, subtle differences between two concepts coined by Michel Foucault, "biopower" and "governmentality," seem significant.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it