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Record W2153361650 · doi:10.1177/0886260511424499

An Evaluation of Intimate Partner Violence Intervention With Incarcerated Offenders

2011· article· en· W2153361650 on OpenAlexaff
Angela Connors, Jeremy F. Mills, Andrew L. Gray

Bibliographic record

VenueJournal of Interpersonal Violence · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsCarleton UniversityMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsFacilitatorPsychologyClinical psychologyPsychological interventionDomestic violenceIntervention (counseling)Poison controlSuicide preventionMedicinePsychiatrySocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

The following study is an evaluation of the Moderate Intensity Family Violence Prevention Program (MIFVPP). The sample consisted of 298 male federal offenders who participated in the MIFVPP while incarcerated or on release within the community. Participants were assessed pre-, mid-, and postprogram using an assessment battery consisting of self-report questionnaires and facilitator-rated evaluation scales. Results of the study found uniform and significant (p < .001) improvement for pre and post program 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 intimate partner violence (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 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)0.004
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 score0.588
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.362
Teacher spread0.291 · 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.

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

Citations31
Published2011
Admission routes1
Has abstractyes

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