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Record W2148455278 · doi:10.1177/107906320401600301

Alcohol and Drug Abuse Among Sexual and Nonsexual Offenders: Relationship to Intimacy Deficits and Coping Strategy

2004· article· en· W2148455278 on OpenAlexaff
Jan Looman, Jeffrey Abracen, Roberto DiFazio, Greg Maillet

Bibliographic record

VenueSexual Abuse · 2004
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsPsychologyClinical psychologyCoping (psychology)Sexual abuseSubstance abusePsychiatryAlcohol abuseInjury preventionPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Three groups of subjects (N = 95) consisting or rapists, child molesters, and a comparison group of violent offenders were examined with reference to history of alcohol abuse, history of drug abuse, intimacy deficits, and emotionally based coping strategies. No differences were found between the two groups of sex offenders on any of the measures examined. Sex offenders were found to be significantly older than the comparison group. When age was entered as a covariate sex offenders were found to have significantly more difficulties with alcohol use as measured by the Michigan Alcohol Screening Test (MAST) and were significantly more likely to use emotionally based coping strategies as measured by the Coping Inventory for Stressful Situations (CISS). No differences were found between any of the groups with reference to drug abuse as measured by the Drug Abuse Screening Test (DAST). Results are discussed in terms of Marshall's theory of intimacy deficits in sexual offenders.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.307
Teacher spread0.255 · 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

Citations52
Published2004
Admission routes1
Has abstractyes

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