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Record W3006276803 · doi:10.1002/bsl.2450

Motivational pathways underlying the onset and maintenance of viewing child pornography on the Internet

2020· article· en· W3006276803 on OpenAlexaff
Natasha Knack, Dave Holmes, J. Paul Fedoroff

Bibliographic record

VenueBehavioral Sciences & the Law · 2020
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of OttawaMental Health Research CanadaRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsGratificationThe InternetPornographyPsychologyPsychological interventionDevelopmental psychologyDistressClinical psychologySocial psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

The staggering rate at which incidents of child pornography (CP) are increasing highlights the need for proactive approaches to this problem. Improving the efficacy and accessibility of interventions designed for individuals who view CP provides one means of addressing this growing concern. This article explores the self-identified motivations underlying the onset and maintenance of viewing Internet-based CP among a sample of 20 men receiving treatment for this behavior. Our findings suggest two primary motivational pathways, namely a desire to achieve sexual gratification and/or an attempt to avoid emotional pain. We propose a behavioral facilitation process, initiated by extensive exposure to Internet pornography, to explain the use of CP in men without a sexual interest in children. We also discuss factors that appeared to facilitate the maintenance of this behavior. Our findings indicate that social skills deficits, maladaptive coping strategies, and a lack of sexual education require further investigation regarding their role in promoting or precluding desistance from viewing CP.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.204
GPT teacher head0.364
Teacher spread0.160 · 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 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

Citations30
Published2020
Admission routes1
Has abstractyes

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