Throw away the manual! Reflections on psychotherapy and crime
Bibliographic record
Abstract
Aotearoa New Zealand has a high rate of imprisonment, seventh or eighth among 36 OECD countries. The experience of imprisonment, isolation from family and the wider community, the company of a population where violence, misogyny, drugs, risk-taking and rule-breaking are normalised, sees the emergence and practice of a criminal subjectivity. This confers mana, a loyal peer group, mentors and a career, on a population well-endowed with obstacles to these ends.An intoxicating, adaptive, performative subjectivity emerges, is practiced every day, and is not readily given up, accounting for the failure of manualised rehabilitation and treatment models which locate the problem in the individual subject. The prison, a subjectifying machine that perpetuates drug use, violence, poverty, family harm and disenfranchisement, which reduces participation in the wider democracy, mitigates against individual change. Using the philosophy of Michel Foucault, in this paper the authors reflect on method in working with men with extensive prison experience, without relying on the idea of an agentive self – an unlikely fiction among graduates from the prison system.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 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".