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Record W2945337797 · doi:10.1177/1524838019849582

Hope, Agency, and the Lived Experience of Violence: A Qualitative Systematic Review of Children’s Perspectives on Domestic Violence and Abuse

2019· article· en· W2945337797 on OpenAlexaff
Lisa Arai, Ali Shaw, Gene Feder, Emma Howarth, Harriet L. MacMillan, Theresa HM Moore, Nicky Stanley, Alison Gregory

Bibliographic record

VenueTrauma Violence & Abuse · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMcMaster University
FundersNIHR School for Primary Care ResearchDepartment of Health and Social CareUniversity of BristolNational Institute for Health and Care ResearchUniversity Hospitals Bristol NHS Foundation Trust
KeywordsQualitative researchThematic analysisAgency (philosophy)Poison controlDomestic violenceSuicide preventionHuman factors and ergonomicsPsychologyDiversity (politics)Perspective (graphical)Coping (psychology)Child abuseLived experienceInjury preventionMedicineClinical psychologySociologyPsychotherapistSocial scienceMedical emergency

Abstract

fetched live from OpenAlex

There is a large body of research on the impact of domestic violence and abuse (DVA) on children, mostly reporting survey data and focusing largely on psychological outcomes. Qualitative research on the views of children has the potential to enable a child-centered understanding of their experience of DVA, so their needs can be better met by professionals. This systematic review reports general findings from the ViOlence: Impact on Children Evidence Synthesis (VOICES) project that synthesized published qualitative research on the experiences of DVA from the perspective of children and young people. A thematic synthesis of 33 reports identified six themes: lived experience of DVA, children’s agency and coping, turning points and transitions, managing relationships postseparation, impact of DVA on children, and children’s expressions of hope for the future. We conclude that professionals working with children affected by DVA should be mindful of the diversity in children’s experiences and listen carefully to children’s own accounts.

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)0.061
metaresearch head score (Gemma)0.102
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.061
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.102
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0100.014
Science and technology studies0.0040.005
Scholarly communication0.0040.007
Open science0.0020.006
Research integrity0.0020.002
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 head0.024
GPT teacher head0.356
Teacher spread0.331 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations115
Published2019
Admission routes1
Has abstractyes

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