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The Second Chance Project: Creative Approaches to Developing the Talents of At‐Risk Native Inmates

2000· article· en· W1967347267 on OpenAlexaffabout
DAVID J. PLACE, Andrea L. A. McCluskey, Ken W. McCluskey, Donald J. Treffinger

Bibliographic record

VenueThe Journal of Creative Behavior · 2000
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of WinnipegGovernment of Manitoba
Fundersnot available
KeywordsRecidivismInterviewPsychologyControl (management)Clinical psychologySocial psychologyApplied psychologyMedical educationMedicineComputer sciencePolitical scienceArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

Abstract This study compared the recidivism rate of two groups of Native Canadian inmates. The experimental group of offenders received intensive pre‐release support, including counseling, training in Creative Problem Solving, career awareness sessions (including résumé writing, interviewing, and impression management), and on‐the‐job experience. Inmates in the control group received no such support; at sentences' end, they were simply released into society to fend for themselves. The results indicated that recidivism can be reduced by a meaningful support program. Individuals in the experimental group were much less likely to re‐offend than those in the untreated control group.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.002
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.365
Teacher spread0.239 · 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 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

Citations13
Published2000
Admission routes2
Has abstractyes

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