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Record W2097965720 · doi:10.1177/0261927x05275735

Sexual Motives and Sentencing

2005· article· en· W2097965720 on OpenAlexaffabout
Clare MacMartin, Linda A. Wood

Bibliographic record

VenueJournal of Language and Social Psychology · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSeriousnessPsychologyCriminologyAttributionSocial psychologyGratificationPedophiliaSexual abusePoison controlHuman factors and ergonomicsLawPolitical science

Abstract

fetched live from OpenAlex

The motives ascribed to offenders in the sentencing of sexual abuse crimes can be highly contentious. Some critics claim that sexual assaults are acts of power and violence and that reference to sexual motives minimizes violence and the seriousness of the offense. The present study examines 74 Canadian judicial sentencing decisions (1993-1997) involving offenders who had sexually abused children and adolescents. Using discursive social psychology, the authors analyze judicial explanations for the offenses, and their implications for mitigation and aggravation. Violent attributions were rare. Sex-based explanations predominated, variously invoking the selfish gratification of offenders’ sexual desires, sexual impulses, pedophilia, and offenders’ attraction to victims. However, in contrast to critics’ claims, these explanations are used by judges to emphasize the seriousness of these crimes. The findings highlight the importance of analyzing discourse in relation to action sequences rather than in isolation. The authors discuss the implications for the study of sexual assault and legal discourse.

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)0.002
metaresearch head score (Gemma)0.014
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 score0.092
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0060.006
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.042
GPT teacher head0.409
Teacher spread0.368 · 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

Citations22
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Language and Social PsychologySame topicSexual Assault and Victimization StudiesFrench-language works237,207