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Record W4386896459 · doi:10.53660/clm-1998-23n62

Situation of child intrafamily violence: integrative literature review

2023· article· en· W4386896459 on OpenAlexaboutno aff
Bruna da Silva Cardoso, Thayse Nunes da Silva, Ana Christiane Soares de Oliveira, Denise Lima Moreira, Lara Mabelle Milfont Boeckmann, Manuela Costa Melo

Bibliographic record

VenueConcilium · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisPoison controlScientific evidencePsychologyMEDLINESuicide preventionQualitative researchHuman factors and ergonomicsMedicineSociologyMedical emergencySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

This study aimed to identify available scientific evidence on the care and protection networks of children in situations of intrafamily violence. This Integrative Review of the literature was based on prisma extension guidelines. Review question: What are the results available in the literature about aspects involving children in situations of intrafamily violence? LILACS, IBECS and MEDLINE databases were used. We included 10 studies between 2017 and 2020, 40% Brazilian, 20% Canadian, 20% American, 10% Spanish and 10% Dutch. Evidence level, 50% evidence II, randomized controlled study were related; 30% evidence IV, cohort study; and 20% evidence VI, qualitative study. Narrative analysis was identified with three thematic approaches involving intrafamily violence. The literature presents forms of intrafamily violence and strategies to deal with the situation. This study provides an understanding of how notifications become important instruments for the reduction of child violence.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.332
Teacher spread0.313 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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