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Record W3028323878 · doi:10.1177/0886260520922372

Nonsuicidal Self-Injury and Intimate Partner Violence: Directionality of Violence and Motives for Self-Injury

2020· article· en· W3028323878 on OpenAlexaff
Amanda Blanco Carranza, Cassidy R. D. Wallis, Melissa R. Jonnson, E. David Klonsky, Zach Walsh

Bibliographic record

VenueJournal of Interpersonal Violence · 2020
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsDomestic violenceIntrapersonal communicationPoison controlPsychologyInjury preventionHuman factors and ergonomicsSuicide preventionContext (archaeology)Clinical psychologyInterpersonal violenceOccupational safety and healthDevelopmental psychologyInterpersonal communicationSocial psychologyMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Nonsuicidal self-injury (NSSI) is associated with intimate partner violence (IPV) perpetration and victimization. However, extant research has not distinguished between unidirectional and bidirectional IPV and has not examined relationships between IPV and functions of self-injury. This study of 1,018 university students revealed a significantly higher prevalence of NSSI among those who reported bidirectional IPV compared with nonviolent individuals. However, rates of NSSI in the unidirectional IPV groups are more similar to rates of NSSI in the bidirectional group than in nonviolent individuals. Individuals who engaged in bidirectional IPV were more likely to endorse interpersonal functions of self-injury than those who engaged in unidirectional IPV or no IPV. In contrast, intrapersonal functions of NSSI were not associated with IPV. Findings suggest that the association between IPV and NSSI may be best understood in the context of relationship conflict, rather than as a distinct correlate of either IPV victimization or IPV perpetration.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.329
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; a candidate call from one teacher head, not a consensus.

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

Citations17
Published2020
Admission routes1
Has abstractyes

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