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Record W2019140580 · doi:10.7202/017030ar

Deux modalités de la peine et leurs effets sur le criminel

2006· article· en· W2019140580 on OpenAlexaffvenue
Maurice Cusson

Bibliographic record

VenueActa Criminologica · 2006
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPunishment (psychology)PsychologyRecidivismAgency (philosophy)Social psychologyCriminologySociology

Abstract

fetched live from OpenAlex

TWO TYPES OF PUNISHMENT AND THEIR EFFECT ON THE CRIMINAL The examination of the immediate, spontaneous social reaction of groups towards deviants makes it possible to distinguish two very different types of punishment : corrective and stigmatizing. Corrective punishment is a measure intended to change the behaviour of a delinquent and to maintain him within the group. Stigmatizing punishment consists of attaching a dishonourable label to the delinquent and rejecting him from the group to which he belongs. When a person who is receptive to the influence of his group undergoes corrective punishment, his most probable reaction will be to conform to the expectations of his group. But if he is subjected to stigmatizing punishment, there is a possibility that he will interiorize the criminal identity attributed to him. He will then enter into conflict with the group and with others, and will tend to become integrated into a criminal group and become a recidivist criminal. A study of recidivism, conducted on the basis of concepts of correction and stigmatization, makes it possible to formulate the following two propositions : 1) an individual who is easily influenced by his group will have a greater tendency to recidivate if, over a substantial period of time, the predominant reaction to his offenses is one of stigmatization. He will have less of a tendency to recidivate if the predominant reaction to his offenses is corrective ; 2) penal measures influence recidivism, not directly, but through the agency of the immediate social reaction. The penal measures start a process of stigmatization from the outset, which has an effect on the probability of recidivism. The concepts of correction and stigmatization are also useful in the study of the evolution of penal measures. They make two other propositions possible : 3) the more complex societies become, the less the State tends to resort to stigmatizing punishment and the more it resorts to corrective punishment ; 4) imprisonment is a punishment which was developed during a period of transition during which stigmatizing punishment was losing out in favour of corrective punishment. It is a mixed measure which attempts to reach a compromise between stigmatization and correction. Because it contains elements that are incompatible, the prison will eventually fall into disuse. At the level of action, the distinction between corrective punishment makes it possible to resolve seemingly insurmountable difficulties within the framework of the present ideology of treatment. It leads to the recognition of this basic fact, that all social reaction to an act that is disapproved of is a punishment, and care must be taken to safeguard the rights of the delinquent, even when we claim to be treating him. Furthermore, this concept leads to the admission that all punishment is liable to contain elements of stigmatization. Only measures that are strictly necessary should therefore be applied to the delinquent, for fear of releasing, in an excess of zeal, a process of stigmatization that will only accentuate the delinquent's anti-social tendencies.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.001

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.

Opus teacher head0.204
GPT teacher head0.417
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2006
Admission routes2
Has abstractyes

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