Bibliographic record
Abstract
R ehabilitation remains an important stated goal of imprisonment, even in jurisdictions where deterrence, incapacitation and "just deserts" are prominent (e.g.Page, 2011).Through work and schooling opportunities, moral instruction and adherence to institutional disciplinary regimes, it is claimed that prison time can transform prisoners into a law-abiding, productive citizens, while restoring their "dignity and privileges" lost as a result of being in confl ict with the law (Mathiesen, 1990, p. 27).Conservative criminologists (see Cullen et al., 1988) have gone as far as to claim that the notion of a punitive public is a myth, the notion of punitive prison administration and guards is a myth and that rehabilitation is a noble idea.As more critical scholars of punishment note, therapeutic and risk-based approaches to rehabilitation continue to individualize, blaming prisoners for their plight (e.g.Polizzi and Maruna, 2010).Given that the relative ineff ectiveness of prison programming compared to community-based initiatives has long been established (e.g., LeClair and Guarino-Ghezzi, 1991), the counterproductive nature of carceral environments that privilege institutional security to the detriment of personal growth opportunities (Haney and Lynch, 1997), prisonization that sees prisoners "taking on in greater or lesser degree the folkways, mores, customs, and general culture" of human warehouses (Clemmer, 1958, p. 479), the debilitating pains of imprisonment (e.g. the deprivation of liberty, goods and services that give one a sense of their identity, desired sexual relationships, autonomy and security) that can trigger anti-social forms of adaptation to survive incarceration (Sykes, 1958), and the stigma associated with being a 'criminal' that stifl es opportunities to proceed with one's life after their criminalized transgressions have occurred (e.g.Munn and Bruckert, 2013), Mathiesen (1990) argues that rehabilitation in the prison context operates as an ideology.The rehabilitative ideology, like other ideologies, is a "unifi ed belief system which lends meaning and legitimacy to one's activities… To the extent that an ideology is not followed in practice, it masks reality" (ibid, p. 29), it becomes a fantasy.For some, the promise of rehabilitation, of making eff orts to abolish ways of thinking and acting that previously resulted in harms to others, along with taking steps to build new insights and skills in the hopes that they will
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.031 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".