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Record W2071495798 · doi:10.1037/a0028979

Intimate partner violence intervention for high-risk offenders.

2012· article· en· W2071495798 on OpenAlexaff
Angela Connors, Jeremy F. Mills, Andrew L. Gray

Bibliographic record

VenuePsychological Services · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsFacilitatorPsychologyPsychological interventionClinical psychologyIntervention (counseling)Domestic violenceSuicide preventionPoison controlPsychiatryMedicineSocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

This study is an evaluation of pre-postprogram change associated with the High Intensity Family Violence Prevention Program (HIFVPP) for incarcerated male offenders who are perpetrators of Intimate Partner Violence (IPV). The sample consists of 159 male offenders who participated in the HIFVPP while incarcerated. Participants were assessed pre-, mid-, and postprogram using an assessment battery consisting of self-report questionnaires and facilitator-rated evaluation scales. Results found uniform and significant (p < .001) improvement for pre- and postprogram change in the self-report questionnaires and in the facilitator ratings. A positive improvement in motivation, whether assessed by the participant or facilitator, was associated with improvement in program outcomes and significant within, between, and interaction effects were found when participant program performance over time was compared among grouped postprogram ratings of motivation. The implication for the efficacy of addressing offender motivation to change in IPV interventions is discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.385
Teacher spread0.338 · 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

Citations29
Published2012
Admission routes1
Has abstractyes

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