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Record W1985811644 · doi:10.1108/13639511111131076

Outside the interrogation room: the context of confession in sexual crimes

2011· article· en· W1985811644 on OpenAlexaff
Éric Beauregard, Tom Mieczkowski

Bibliographic record

VenuePolicing An International Journal · 2011
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConfession (law)CHAIDInterrogationPsychologyContext (archaeology)Social psychologyCriminologyOriginalityComputer sciencePolitical scienceLawData miningDecision tree

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to identify factors in sex offenders that act to facilitate or inhibit confession to police. Moreover, it aims to assess possible interactions and differences among factors related to confession specifically for child molesters and those who attack adult victims (rapists). Design/methodology/approach The authors use a combination of CHAID and conjunctive analysis to analyze interactions and factors significantly associated with confession to police in a sample of 624 sex offenders. Findings The study identifies several factors, as well as interactions among those factors, related to confession to the police. Moreover, rapists and child molesters present different factors related to confession, the former being more related to the criminal event as to the latter being more related to the offender characteristics. Practical implications The findings point to the conclusion that investigators need to pay careful attention to the type of victim when preparing the interrogation. Moreover, these crime event characteristics are readily observable factors that can improve the estimation of the likelihood of obtaining a confession. Finally, the several interactions identified confirm the complexity of the decision making leading to confession to police as well as the need to look at the factors in combination as opposed to individually. Originality/value This paper is the first attempt to apply a combination of innovative multivariate statistics (CHAID) and a qualitative technique (conjunctive analysis) to investigate factors leading to confession for two specific types of sex 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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
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 communication0.0000.000
Open science0.0000.000
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 head0.106
GPT teacher head0.403
Teacher spread0.296 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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