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Record W4214674066 · doi:10.1111/cfs.12906

The ambivalent visit: Children's experiences of relating with their fathers during staying in shelters for women survivors of domestic violence

2022· article· en· W4214674066 on OpenAlexaff
Anat Vass, Muhammad M. Haj‐Yahia

Bibliographic record

VenueChild & Family Social Work · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMcGill University
Fundersnot available
KeywordsWorryAmbivalenceDomestic violenceThematic analysisPsychologyCognitive dissonanceContext (archaeology)Developmental psychologyQualitative researchMeaning (existential)Social psychologySuicide preventionPoison controlMedicinePsychotherapistPsychiatrySociologyAnxietyGeographyEnvironmental healthSocial science

Abstract

fetched live from OpenAlex

Abstract Children's exposure to intimate partner violence (IPV) is a serious problem that has been increasingly examined during the last four decades. In the case of severe IPV, children are placed with their mothers in shelters for women survivors of domestic violence (SDV). The current study aimed to understand young children's descriptions of relating with their fathers during their stay in SDVs. Interviews were conducted with 32 Israeli children, aged 7 to 12 years. Two main themes and five subthemes were identified through thematic analysis: (1) Atypical visiting arrangements (subthemes: a lack of understanding about the meaning of supervised visitations, inconsistent and unstable visitations); (2) ambivalent attitudes towards the visiting arrangements (subthemes: enjoying fathers' attention and shared family time, worry and guilt following the visitations, controversial messages from fathers). The findings demonstrate the children's subjective views and emphasize the benefit of gathering qualitative data from young children in the context of exposure to IPV. Findings are discussed in light of the cognitive dissonance reduction theory. Limitations of the study are discussed, along with implications for practice, theory and future research.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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.

Study designQualitative
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

Citations5
Published2022
Admission routes1
Has abstractyes

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