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Record W2041816473 · doi:10.1080/10926771.2010.502097

Adolescent Dating Violence Research and Violence Prevention: An Opportunity to Support Health Outcomes

2010· article· en· W2041816473 on OpenAlex
Christine Wekerle, Masako Tanaka

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aggression Maltreatment & Trauma · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDating violenceAggressionPsychological interventionPsychologyIntervention (counseling)PopulationDomestic violencePoison controlSuicide preventionInjury preventionHuman factors and ergonomicsPublic healthClinical psychologyDevelopmental psychologyMedicinePsychiatryMedical emergencyEnvironmental healthNursing

Abstract

fetched live from OpenAlex

The contributions to the special issues on adolescent dating violence that make up the Journal of Aggression, Maltreatment, and Trauma 19(5) and 19(6) reflect continued learning on the description, predictors, and patterns within adolescent relationship development. As reflected here, adolescent dating violence is at a level of concern that warrants enhanced focused research attention, as well as a renewed interest in testing interventions. As a relatively new area of inquiry and intervention, adolescent dating violence will benefit from a co-consideration of epidemiological and clinical research, as well as a move toward randomized control trials to direct those programs that show consistent positive impact across trials. With sufficient population data showing no change in dating violence victimization, it is imperative that adolescent dating violence be accorded due status as a public health issue, with import for future child maltreatment and adult intimate partner violence.

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.

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)0.005
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 score0.831
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.168
GPT teacher head0.484
Teacher spread0.316 · 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