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Record W2957792966 · doi:10.1177/1079063219862281

The Development and Validation of the <i>Cognitions of Internet Sexual Offending</i> (C-ISO) Scale

2019· article· en· W2957792966 on OpenAlexaff
Sarah Paquette, Franca Cortoni

Bibliographic record

VenueSexual Abuse · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyCognitionThe InternetScale (ratio)Test (biology)Clinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Tools designed to measure the cognitions of individuals who engage in sexual activities with children over the Internet are either based on knowledge about men who had committed contact sexual offenses or cognitive phenomena not specifically associated to offending behaviors. Thus, there is no validated tool specifically designed to assess the offense-supportive cognitions of men who use the Internet to sexually offend children. This study developed and validated the Cognitions of Internet Sexual Offending (C-ISO) scale. A sample of 241 men with online and contact sexual as well as with nonsexual offenses completed the C-ISO scale and its psychometric properties, and latent structure was analyzed using both Classical Test Theory (CTT) and Item Response Theory (IRT), resulting in a final version containing 31 items. The analyses indicate that the C-ISO has excellent psychometric properties and discriminates men with online sexual offenses from those with contact sexual and nonsexual offenses. Implications of the findings for clinical practice and future research are discussed.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.563

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)0.0000.000

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 head0.024
GPT teacher head0.278
Teacher spread0.254 · 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

Citations27
Published2019
Admission routes1
Has abstractyes

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