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Record W6926709758 · doi:10.25384/sage.c.6607586

Influence of Cultural Norms on Formal Service Engagement Among Survivors of Intimate Partner Violence: A Qualitative Meta-synthesis

2023· other· en· W6926709758 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
FieldEnergy
TopicAlgal biology and biofuel production
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDomestic violenceThematic analysisQualitative researchCultural diversityEconomic JusticeService (business)Criminal justiceService provider

Abstract

fetched live from OpenAlex

For victim-survivors of intimate partner violence (IPV), receiving help from formal services such as specialist family violence, health, or criminal justice services can be critical for their safety and well-being. Previous research has found cross-cultural differences in the rates of help-seeking behavior, with women from non-Anglo-Saxon communities less likely to seek formal help than Anglo-Saxon populations. This qualitative meta-synthesis has integrated qualitative evidence to examine the relationship between specific cultural norms and formal service engagement for female victim-survivors of IPV from non-Anglo-Saxon communities. A comprehensive search of seven databases was conducted for peer-reviewed articles published between 1985 to May 2021, in addition to searching gray literature. Thirty-five articles met the criteria for inclusion, representing 1,286 participants from 20 cultural groups. Based on a thematic synthesis approach, five key themes that captured specific cultural norms that influence formal service engagement were identified: (1) gender roles and social expectations, (2) community recognition and acceptance of abuse, (3) honor-based society, (4) the role of religion, and (5) cultural beliefs and attitudes toward formal services. These findings have important implications for responses to family violence, particularly concerning family violence education for non-Anglo-Saxon ethnically diverse communities and best-practice strategies to improve the cultural relevancy of formal service providers.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.120
GPT teacher head0.372
Teacher spread0.251 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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