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Record W3089567651 · doi:10.1037/fam0000810

A national implementation of a community-based intervention for mothers experiencing violence in relationships.

2020· article· en· W3089567651 on OpenAlexfundaboutno aff
Naomi C. Z. Andrews, Mary Motz, Debra Pepler

Bibliographic record

VenueJournal of Family Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersPublic Health Agency of Canada
KeywordsPsychologyIntervention (counseling)Developmental psychologySuicide preventionPoison controlClinical psychologySocial psychologyPsychiatryMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Interpersonal violence is a significant concern for families; thus interventions to support vulnerable mothers and children experiencing violence are essential. The purpose of this study was to present preliminary evaluation results from the national dissemination of an interpersonal violence intervention for mothers delivered in community-based programs across Canada. In 18 communities, 184 mothers participated in the intervention. Mothers reported on measures related to the self, relationships, parenting, and knowledge of community services, both before and after the intervention. Mothers comprised a high-risk, vulnerable population. Results indicated feasibility and acceptability, based on a high proportion of intervention completers and high levels of satisfaction. Women reported improvements in self-esteem, self-efficacy, relationship capacity, parenting stress, knowledge of community services, and understanding of relevant concepts compared to before the intervention (with small to medium effects). Additional analyses supported some of these findings as particularly robust. We discuss the importance of community-based projects in reaching diverse families, sustaining engagement with high levels of satisfaction, and supporting mothers in making changes relating to themselves, their relationships, and their parenting. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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)0.002
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 score0.464
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.207
GPT teacher head0.486
Teacher spread0.279 · 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

Citations14
Published2020
Admission routes2
Has abstractyes

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