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Record W2127245262 · doi:10.1080/10926771.2010.495035

Adolescent Girls' and Boys' Experiences of Psychologically, Physically, and Sexually Aggressive Behaviors in Their Dating Relationships: Co-Occurrence and Emotional Reaction

2010· article· en· W2127245262 on OpenAlexaff
Heather A. Sears, E. Sandra Byers

Bibliographic record

VenueJournal of Aggression Maltreatment & Trauma · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyDating violenceDevelopmental psychologyDiscriminant function analysisPoison controlHuman factors and ergonomicsDomestic violenceMedicine

Abstract

fetched live from OpenAlex

We examined the co-occurrence of and adolescents' emotional reaction to self-reported experiences of psychologically, physically, and sexually aggressive behaviors in their dating relationships. Participants were 317 boys and 310 girls (Grades 7, 9, or 11). The most common co-occurrence pattern was experiencing all three forms of dating violence. More girls than boys were upset by their worst nonsexual and sexual dating violence experiences. Discriminant function analyses indicated that individual and environmental characteristics were associated with girls' and with boys' upset reaction to experiences of nonsexual and sexual dating violence; a group of girls and a group of boys who were not upset by their experience were also differentiated. To better understand adolescents' experiences of dating violence, we must take into account that many youths experience multiple forms of aggressive behavior and assess their emotional reaction to their experiences.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.371
Teacher spread0.320 · 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

Citations61
Published2010
Admission routes1
Has abstractyes

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