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Record W4405564526 · doi:10.22215/cujs.v4i1.4504

Exploring the Complex Link: Pedophilia and its Association with Psychiatric Comorbidities

2024· article· en· W4405564526 on OpenAlexaff
Lea Rawlinson

Bibliographic record

VenueCarleton undergraduate journal of science. · 2024
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsCarleton University
Fundersnot available
KeywordsPedophiliaAssociation (psychology)Link (geometry)PsychiatryPsychologyMedicinePsychotherapistHuman factors and ergonomicsPoison controlEnvironmental healthComputer scienceComputer network

Abstract

fetched live from OpenAlex

This review dives into the complex relationship between pedophilia and psychiatric comorbidities. The study navigates the complexities surrounding this sensitive topic, recognizing societal discomfort with pedophilia and the imperative need to approach it with sensitivity. Pedophilia, a paraphilia characterized by sexual attraction to prepubescent children, raises critical concerns for public safety and thus it is necessary to explore what factors may increase the risk of pedophilic behaviours. This essay focuses on unraveling the intertwined dynamics of pedophilia and psychiatric comorbidities, aiming to contribute to a more informed discourse. Central questions include the commonalities among individuals with pedophilic disorders, their intersections with psychiatric comorbidities, and the influence of substance use on the manifestation of pedophilic behaviours. Employing a multifaceted approach, the research draws on studies by Hall and Hall (2007), Kraanen and Emmelkamp (2011), Ferretti et al. (2011), Burt (2019), Tenbergen (2015) and others to provide comprehensive insights.

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)0.002
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 score0.603
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.092
GPT teacher head0.322
Teacher spread0.231 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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