Bibliographic record
Abstract
Despite the torrent of the punitive state, people in conflict with the law are made up as `clients' of criminal justice. This article looks curiously upon the figure of the client, positioning her as a translation of the offender who flags particular relationships of justice. While the client is nowhere to be found on the public face of punishment, she emerges in the most unlikely of places (prisons, courts) when looking at punishment's inner workings. The client, we argue, is born of the elision of managerial and consumerist discourses in order to recruit people in conflict with the law and justice workers into contemporary penal project. The subject positions of criminal justice actors (offenders and workers) are reframed such that they are all active agents in the practice of social service delivery. These translations reveal the fluidity of identities and relationships within the criminal justice system and teach us about the political strategies underlying differing argots of punishment.
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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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.026 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".