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Record W2617350684 · doi:10.1177/0734016817704700

Continuous Child Sexual Abuse

2017· article· en· W2617350684 on OpenAlexaff
Dayna M. Woiwod, Deborah A. Connolly

Bibliographic record

VenueCriminal Justice Review · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsStatuteLegislationSexual abuseWork (physics)PsychologyFace (sociological concept)LawComputer securityPolitical scienceHuman factors and ergonomicsPoison controlSociologyEngineeringComputer scienceMedicineMedical emergency

Abstract

fetched live from OpenAlex

Due to calls for reform of legislation that accounts for the difficulties complainants of repeated child sexual abuse (CSA) face when asked to particularize individual acts, jurisdictions in the United States and Australia have adopted continuous CSA statutes. Continuous CSA statutes allow for reduced particularity of individual instances when abuse is repeated. In this article, we discuss particularization requirements and how they are adapted in current jurisdictions in the United States and Australia with continuous CSA statutes. We then discuss the relevant research on children’s memory for repeated events and frequency to discuss how current and future research can inform the criteria for the charge. Our goal in this article is to inspire thoughtful discussion of continuous CSA legislation, and how current and future psychological research can advance the criteria for the charge. As more jurisdictions consider adopting these statutes, it would be helpful for psychologists and legal professionals to work toward developing a consensus on the criteria for the charge that balances both the victim’s capabilities to particularize repeated CSA and various rights of the accused.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.005

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 head0.074
GPT teacher head0.379
Teacher spread0.305 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations25
Published2017
Admission routes1
Has abstractyes

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