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Record W893309060 · doi:10.7420/ak2012a

The dawning of a new era in social reaction to crime: promise, potential and limitations of restorative justice

2012· article· en· W893309060 on OpenAlexaff
Ezzat A. Fattah

Bibliographic record

VenueArchiwum Kryminologii. · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRestorative justiceCriminologySocial justicePolitical scienceEconomic JusticeSociologyLaw

Abstract

fetched live from OpenAlex

Despite dramatic social changes and unprecedented technological innovations penal philosophy has undergone little change. Retribution continues to be the key principle in sentencing and judges continue their hopeless struggle to make the punishment fit the crime. It is truly baffling that the CJS has remained archaic in its philosophy, its outlook and its tools and has remained insulated from whatever changes and advances that had taken place in modern society? For as yet unexplained reasons the system has resisted every attempt to modernize and change? This is probably why it is that despite the manifest advantages and benefits of R.J. over a punitive, retributive system, whose sole aim is to inflict pain and suffering on the wrong-doer, there is still reluctance to do away with the ideas of expiation and penitence in favor of reconciliation and compensation. The strong support for victims of crime, coupled with the undeniable fact that victims are the main losers in a punitive system of justice, have not yet succeeded in convincing politicians, lawmakers or the general public of the need to replace the medieval practice of punishment by a more constructive, more peaceful and less harmful means of dealing with crime and conflict. And yet, the destructive and detrimental effects of punishment are too evident to ignore. All this suggests that the time is right for a paradigm shift in society’s response to crime. There is a desperate need to move from philosophical abstraction to restorative action, from senseless retribution to meaningful restitution, from just deserts to restorative justice. But there is also a need for realism. R.J. is not a pana-cea. Although superior in every respect to retribution R.J. does have certain limitations and there are certain dangers to be avoided when moving towards the full implementation of a restorative justice system.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.126
GPT teacher head0.368
Teacher spread0.242 · 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 designQualitative
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

Citations2
Published2012
Admission routes1
Has abstractyes

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