Toward an Anthropology of Public Policy
Bibliographic record
Abstract
As the rational choice model of “policy” proliferates in “policy studies, ” the social sciences, modern governments, organizations, and everyday life, a number of anthropologists are beginning to develop a body of work in the anthropology of public policy that critiques the assumptions of “policy” as a legal-rational way of getting things done. While de-masking the framing of public policy questions, an anthropological approach attempts to uncover the constellations of actors, activities, and influences that shape policy decisions, their implementation, and their results. In a rapidly changing world, anthropologists’ empirical and ethnographic methods can show how policies actively create new categories of individuals to be governed. They also suggest that the long-established frameworks of “state” and “private, ”“local” or “national” and “global, ”“macro” and “micro, ”“top down” and “bottom up, ” and “centralized” and “decentralized” not only fail to capture current dynamics in the world but actually obfuscate the understanding of many policy processes.
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.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.047 |
| Scholarly communication | 0.014 | 0.018 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".