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Record W2152063296 · doi:10.1177/1079063214554959

Women Convicted of Promoting Prostitution of a Minor Are Different From Women Convicted of Traditional Sexual Offenses

2014· article· en· W2152063296 on OpenAlexaff
Franca Cortoni, Jeffrey C. Sandler, Naomi J. Freeman

Bibliographic record

VenueSexual Abuse · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRecidivismPsychologyArsonMinor (academic)CriminologySex offenseSuicide preventionPoison controlSexual abuseLawPolitical scienceMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Some jurisdictions have legally decreed that certain nonsexual offenses (e.g., promoting prostitution of a minor, arson, burglary) can be considered sexual offenses. Offenders convicted of these crimes can be subjected to sexual offender-specific social control policies such as registration, as well as be included in sexual offender research such as recidivism studies. No studies, however, have systematically examined differences and similarities between this new class of sexual offenders and more traditional sexual offenders. The current study used a sample of 94 women convicted of sexual offenses to investigate whether women convicted of promoting prostitution of a minor differed on demographic and criminogenic features from those convicted of more traditional sexual offenses. Results show that women convicted of promoting prostitution offenses have criminal histories more consistent with general criminality and exhibit more general antisocial features than women convicted of traditional sexual offenses. These results support the notion that the inclusion of legally defined sexual offenders with traditional ones obscures important differences in criminogenic features among these women.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.738

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)0.0000.000

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 head0.036
GPT teacher head0.260
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations18
Published2014
Admission routes1
Has abstractyes

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