Bibliographic record
Abstract
1 Introduction, the editors Part 1: Punitive Trends 2. The great leap backward: imprisonment in America from Nixon to Clinton, Loic Wacquant 3. Crime control in western countries, 1970 to 2000, Lyn Hinds 4. Continuity, rupture or just more of the 'volatile and contradictory'?: glimpses of New South Wales' penal practice behind and through the discursive, David Brown 5. Supermax meets death row: legal struggles around the new punitiveness in the USA, Mona Lynch 6. The liberal veil: revisiting Canadian penality, Dawn Moore and Kelly Hannah-Moffat 7. Contemporary statecraft and the 'punitive obsession': a critique of the new penology thesis, Roy Coleman and Joe Sim Part 2: Globalisation, Technology and Surveillance 8. Globalisation and the new punitiveness, Estella Baker and Julian V. Roberts 9. Engaging with punitive attitudes towards crime and punishment: some strategic lessons from England and Wales, Mick Ryan 10. The ad and the form: punitiveness and technological culture, Katjo Franko Aaas 11. Electronic monitoring, satellite tracking and the new punitiveness in England and Wales, Mike Nellis Part 3: Non-Punitive Societies 12. Levels of punitiveness in Scandinavia: description and explanation, Ulla Bondeson 13. Missing the punitive turn? Canadian criminal justice, 'balance' and penal modernism, Jeffrey Meyer and Pat O'Malley 14. When is a society non-punitive? The Italian case, David Nelken Part 4: Explanations 15. Modernity and the punitive, Simon Hallsworth 16. Elias, punishment and civilisation, John Pratt 17. Liberal exclusions and the new punitiveness, Mark Brown 18. Rethinking narratives of penal change in global context, Wayne Morrison
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".