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Record W3089457821 · doi:10.3390/socsci9100174

Mothers as Victims of Intimate Partner Violence: The Decision to Leave or Stay and Resilience-Oriented Intervention

2020· article· en· W3089457821 on OpenAlexfundno aff
Ana Isabel Sani, Dora Pereira

Bibliographic record

VenueSocial Sciences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsDomestic violencePsychological interventionPsychologyPsychosocialIntervention (counseling)Psychological resilienceSocial psychologyAbusive relationshipPoison controlInterpersonal communicationDevelopmental psychologySuicide preventionMedicinePsychotherapistPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

This paper presents a qualitative study to understand the reasons for leaving or staying in an abusive relationship and how this informs planning for psychosocial interventions with victims. We present a study of 15 Portuguese women with children who were victims of intimate partner violence (IPV). The sample consisted of women, helped by a Victim Support Office, who volunteered to participate in a semi-structured interview and whose narrative responses were recorded and transcribed for analysis. The results, organized into two broad categories, reveal that the reasons for staying in the abusive relationship are essentially related to extrinsic factors (e.g., children, the aggressor, society), which reinforces myths (e.g., marriage is for life) and makes it difficult to break the cycle of violence. However, the decision to leave the abusive relationship is also based on the same factors which, when reconceptualized and empowered, contribute to the intrinsic recognition of the problem and the decision-making process. We find that the resilience portfolio model, which focuses on three major factors (self-regulation, interpersonal forces, and construction of meaning), favors the identification of protective factors that can guide interventions for individuals facing situations of adversity such as IPV.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
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 head0.042
GPT teacher head0.392
Teacher spread0.350 · 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

Citations26
Published2020
Admission routes1
Has abstractyes

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