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Record W782517127 · doi:10.1002/9781118524275

The Encyclopedia of Juvenile Delinquency and Justice

2017· book· en· W782517127 on OpenAlexaff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsJuvenile delinquencyEncyclopediaCriminologyJuvenileEconomic JusticeSociologyPolitical scienceLawBiologyEcology

Abstract

fetched live from OpenAlex

This entry gives an overview of juvenile sex offenders by summarizing empirical literature on prevalence, theory development, risk factors, criminal career research, and typologies. Overall, the empirical research on juvenile sexual offending is limited; only recently has the subject gained the interest of the scientific community. Theory development has largely been influenced by concepts and theories used to study adult sex offending. Recidivism studies found that sexual recidivism rates are low, yet somewhat elevated compared with nonsexual offenders, the chances of nonsexual reoffending were found to be substantially higher. The developmental criminological perspective revealed that juvenile sex offenders were unlikely to become adult sex offenders. Risk factors associated with sexual offending were found to be specific traits, such as atypical sexual interests, and also traits associated with nonsexual offending. Additionally, several juvenile sex offender typologies are described.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.084
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0840.028

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 head0.050
GPT teacher head0.330
Teacher spread0.280 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations56
Published2017
Admission routes1
Has abstractno

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