Bibliographic record
Abstract
Socio-legal theorists Alan Hunt and Gary Wickham emphasize the role law plays in these "multiform tactics": "The deployment of 'multiform tactics' is illustrated in the link that exists between 'government' and 'population' where a variety of experts (quantifying, calculating and codifying) scattered across a range of agencies generate social policies that operate both to constitute the 'social problems' at which governmental action is directed and actively to regulate, control and coordinate the targets thus created." Alan Hunt and Gary Wickham, Foucault and the Law: Towards a Sociology of Law as Governance (London: Pluto, 1994), 53. 13 Richard Burt, "Introduction: The 'New' Cen sorship, " in The Administration of Aesthetics: Censorship, Political Criticism, and the Public Sphere (Minneapolis and London: University of Minnesota Press, 1994), xviii.Although I am referring generally to legal processes, including related processes of legislature, case and civil law, and police and punitive processes, my reference to "the law" artificially unifies it and should be taken as a verbal construct for the sake of clarity.See Hunt and Wickham, Foucault and the Law, 40.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.312 | 0.133 |
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".