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Record W1976081610 · doi:10.7202/017380ar

L’intervention cognitive-développementale auprès des adolescents délinquants

2005· article· en· W1976081610 on OpenAlexaffvenueabout
Jacques Dionne

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsIntervention (counseling)CognitionPsychologyRehabilitationInternshipCognitive InterventionCognitive rehabilitation therapyDevelopmental psychologyApplied psychologyMedical educationMedicinePsychiatry

Abstract

fetched live from OpenAlex

In the last decades, many types of intervention, seeking to alter the subject's level of cognition, have been developed for the rehabilitation of young delinquents. Among these different cognitive models, some are inspired by developmental-cognitive psychology, which has been used to improve rehabilitation and prevention initiatives. This article's objective is to make the developmental-cognitive approach known, in order to make intervention models more accurate and to help these youngsters improve their ability in building and maintaining interpersonal relationships, as well as their sense of responsibility and their moral judgment. The first part of the article introduces the general characteristics , of developmental-cognitive psychology. The second describes intervention methods which were developed from these theoretical principals. And the third section presents the developmental-cognitive intervention model as it is currently applied in the experimental differential intervention project with teenagers in difficulty, who were placed in rehabilitation internship in Montreal.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.009

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 head0.543
GPT teacher head0.516
Teacher spread0.027 · 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 designObservational
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
Published2005
Admission routes3
Has abstractyes

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