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Record W1519911134

In Search of Restorative Jurisprudence

2015· article· en· W1519911134 on OpenAlexaboutno aff
John Braithwaite

Bibliographic record

VenueANU Open Research (Australian National University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRestorative justiceRetributive justiceImprisonmentPunishment (psychology)Political scienceLawPrisonCriminologyJurisprudenceLegislationEconomic JusticePsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Within the social movement for restorative justice, there is and always has been absolute consensus on one jurisprudential issue. This is that restorative justice processes should never exceed the upper limits on punishment enforced by the courts for the criminal offence under consideration. Retributive theorists often pretend in their writing that this is not the case, but when they do, they are unable to cite any scholarly writings, any restorative justice legislation or any training manuals of restorative justice practitioners to substantiate loose rhetoric about restorative justice being against upper limits or uncommitted to them. Moreover, the empirical experience of the courts intervening to overturn the decisions of restorative justice processes, which has now been considerable, particularly in New Zealand and Canada, has been overwhelmingly in the direction of the courts increasing the punitiveness of agreements reached between victims, offenders and other stakeholders. In New Zealand, for example, Maxwell and Morris (1993) report that whilecourts ratified conference decisions 81 per cent of the time, when they did change them, for every case where they reduced the punitiveness of the order there were eight where they increased it. Similar results have been obtained in the Restorative Resolutions project for adult offenders in Manitoba (83 per cent judicial ratification of plans, with five times as much modification by addition of requirements as modification by deletion) (Bonta et al. 1998: 16). While there were no cases where the restorative process recommended imprisonment and the court overruled this, there were many of the court overruling the process by adding prison time to the sentence.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.369
GPT teacher head0.497
Teacher spread0.127 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2015
Admission routes1
Has abstractyes

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Same venueANU Open Research (Australian National University)Same topicCriminal Justice and Corrections AnalysisFrench-language works237,207