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Record W1998273839 · doi:10.1300/j076v31n01_11

Need Structure, Leisure Motivation, and Psychosocial Adjustment Among Young Offenders and High School Students

2000· article· en· W1998273839 on OpenAlexaff
Katherine B. Starzyk, John R. Reddon, Jon Friel

Bibliographic record

VenueJournal of Offender Rehabilitation · 2000
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsAlberta Hospital EdmontonQueen's University
Fundersnot available
KeywordsPsychosocialPsychologyPersonalityClinical psychologyScale (ratio)AggressionHarmDepression (economics)AutonomyDevelopmental psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Abstract The Personality Research Form-E (PRF-E; 20 need structure scales), the Holden Psychological Screening Inventory (HPSI; 3 psychosocial adjustment scales), and the Leisure Motivation Scale (LMS; 4 leisure motivation scales) were administered to 60 young offenders and 50 high school students. Significant between sample differences in means resulted for the HPSI Psychiatric, Social, and Depression Symptomatology scales; the PRF-E Affiliation, Aggression, Autonomy, and Harm Avoidance content scales; and the LMS Social scale. Statistically significant correlations resulted between the LMS and 19 of the 20 PRF-E content scales as well as the HPSI Depression and Social Symptomatology scales. It is concluded that young offenders, as compared to high school students, are significantly less well adjusted and have different leisure motivations and personality needs. It is likely that need structure impacts directly on psychosocial adjustment as well as indirectly through leisure motivation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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.

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

Citations12
Published2000
Admission routes1
Has abstractyes

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