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Record W4403474957 · doi:10.1177/15248380241290247

Where are Minors Initially Contacted for Sexual Exploitation Grooming in North America? Implications for Prevention Programming

2024· article· en· W4403474957 on OpenAlexaff
Jeff Halvorsen

Bibliographic record

VenueTrauma Violence & Abuse · 2024
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThe InternetMoral panicMinor (academic)PsychologyPoison controlSuicide preventionCriminologySocial psychologyComputer securityMedicineMedical emergencyPolitical scienceComputer scienceLawWorld Wide Web

Abstract

fetched live from OpenAlex

Baird and Conolly's systematic review on North American domestic minor sexual exploitation claimed that the literature most frequently identifies the internet as the initial site of contact. However, in my analysis of their sources, only three of the seven identified studies indicated that the internet was the site of initial recruitment, three studies did not have enough information to make a determination, and one study did not identify the internet as the site of initial recruitment. For the papers that did cite the internet as the initial site of recruitment, most identified the internet as among the least frequent locations of initial recruitment. The internet is not the most frequent location of initial recruitment and correcting this error is important because prevention programs that focus on raising awareness of risks may lead youth to develop a false sense of safety offline and contribute to the moral panic of youth risk online. Rather, prevention programs should focus on healthy relationship skills.

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)0.020
metaresearch head score (Gemma)0.108
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: none
Teacher disagreement score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.108
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0020.002
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0010.002
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 head0.075
GPT teacher head0.383
Teacher spread0.308 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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