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The effects of dating violence, substance use and risky sexual behavior among a diverse sample of Illinois youth

2010· article· en· W2082369009 on OpenAlex
Binta Alleyne, Victoria H. Coleman‐Cowger, Laurel Crown, Maya A. Gibbons, Linda Nicole Vines

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 Adolescence · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsPsychologyDating violenceCondomEthnic groupSexual intercourseEthnically diverseSexual violencePoison controlInjury preventionDevelopmental psychologyPopulationDemographySuicide preventionClinical psychologySocial psychologyDomestic violenceCriminologyMedicineHuman immunodeficiency virus (HIV)Medical emergency

Abstract

fetched live from OpenAlex

This study examines the relationship between dating violence, forced sexual intercourse (FSI), and four measures of sexual risk taking (i.e., age at first sex, number of recent (within the last three months) sex partners, alcohol/drug use at last sex, and condom use at last sex) among a sample of 1124 ethnically diverse sexually active adolescents in Illinois. Given conflicting reports regarding the role of gender in dating violence, and the dearth of research examining the role of gender in relations between dating violence, sexual violence, and sexual risk taking, we also examine whether gender moderates the relation between these constructs. The findings indicate significant relationships among dating violence and FSI and age at first sex, number of sexual partners, and condom use across various ethnic groups. Findings also show that when controlling for gender, dating violence and FSI are related to number of sexual partners and age at first intercourse regardless of ethnic group identification.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.024
GPT teacher head0.291
Teacher spread0.267 · 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