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Record W3163289116 · doi:10.7420/ak2018j

W poszukiwaniu skutecznych metod resocjalizacji sprawców pozbawionych wolności na przykładzie Stanów Zjednoczonych Ameryki

2018· article· en· W3163289116 on OpenAlexaboutno aff
Małgorzata Szwejkowska

Bibliographic record

VenueArchiwum Kryminologii. · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonPunitive damagesCriminologyRecidivismCriminal justiceSanctionsRehabilitationPolitical scienceConstructivePsychologyLawProcess (computing)Computer science

Abstract

fetched live from OpenAlex

In its introduction, the article characterises - in a most comprehensible way - themain objectives of criminal sanctions and their role in preventing crime, according tothe most commonly expressed opinions on the subject from American scholars. It isfollowed by a brief history of assessing the risk of committing an offence in the UnitedStates in recent decades. The risk assessment process was developed before World WarII as a tool to predict possible recidivism in the case of inmates released on parole, butit has been in more common use since 1980s. While the “What works?” movementinitially emerged in the United States, one needs to remember the publication of Robert Martinso’s report that created the “Nothing works” (concerning prison rehabilitation)doctrine. It aided the justification of severe changes in punitive prison policies inthe 1970s that continued well into the 1990s, with the slogans “tough on crime, toughon the causes of crime” being more prominent. It took more than a decade to reestablishsome hope in prison rehabilitation programmes and allow the paradigm shiftsto happen – from the retribution “being tough on offenders” policy to more creativeapproaches towards offenders. By constructive approaches to working with offenders,one means the use of effective methods and techniques to alter criminal behaviourof inmates to prevent their possible relapse into crime (crime prevention).The main goal of the article is to present the most fundamental system in the UScriminal justice system that is most commonly applied nowadays: the Risk-Need-Responsivity (RNR) model and its principles to offender assessment. The aforementionedprinciples were laid down by Canadian scholars, Donald Arthur Andrews andJames Bonta. In that model, “risk” means the identification of specific factors thatare associated with recidivism (in general, depending on a specific crime, e.g. sexualoffenders or offenders who committed violent crimes). Andrews and Bonta argue thata number of factors need to be considered in any comprehensive theory of criminalbehaviour, including biological or neurological issues, inheritance, temperamentand social and cultural factors, while also noting that criminal behaviour is a multifactorialissue. “Need” assesses criminogenic needs and targets them in prison treatmentprogrammes for elimination, while “responsivity” intends to maximise the offender’sability to learn how to combat possible recidivism through rehabilitative intervention,providing cognitive behavioural treatment – with the said intervention being tailoredto the learning style, motivation, abilities and strengths of the offender.Risk assessment is applied during different stages of the criminal procedure: beforesentencing and during the period of time when the criminal sanction is executed, i.e.while serving a custodial sentence. It must be noted that, in the US justice system, judgesare not the only people obliged to assess the potential risk of an offender relapsinginto crime in the future. Prison officers are also tasked with such assessment. Throughthe application of the RNR model, it is possible for the prison staff to divide inmatesinto specific groups, depending on security levels and adequate treatment programmes.In that case, the assessment tools based on the RNR model not only allow a predictionof a possible relapse into crime, but also a proper allocation of convicts to rehabilitationprogrammes provided within prisons. A convict undergoes an evaluation before andafter the treatment. Such evaluations are imposed on most prisoners, so performingthem does have an impact on the financial and human resources of a given penitentiaryunit.The most important question, “What works in prison?” is answered by the majorityof scholars through propositions of providing cognitive and behavioural skill programmesto the convicts. They have clear criteria to ensure that objectives, methods andapplication of rehabilitation programmes correspond with the needs of criminaloffenders. The conclusion of the research is meant to prove that providing offenders with such treatment (based upon the RNR model) may have a positive effect on re -ducing the risk of relapse into crime in the future. However, the appropriate methodsof treatment are based not only on psychotherapy (or, sometimes, on pharmacologicaltreatment), but also on education, vocational training, personal development, strengtheningself-control mechanisms and improving interpersonal skills.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.009

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 head0.049
GPT teacher head0.360
Teacher spread0.311 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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