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Record W2611029428 · doi:10.1177/0886260517707307

Women’s Advocates and Shelter Residents: Describing Experiences of Working and Living in Domestic Violence Shelters

2017· article· en· W2611029428 on OpenAlexaff
Judy Hughes

Bibliographic record

VenueJournal of Interpersonal Violence · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychological interventionDomestic violenceAbusive relationshipFeelingQualitative researchNursingSuicide preventionMedicinePsychologyPoison controlSocial psychologyEnvironmental healthSociology

Abstract

fetched live from OpenAlex

Domestic violence shelters are a crucial service for women who have experienced violence and abuse from intimate partners. Despite research that demonstrates the effectiveness of shelter stays, little is known about the practices that occur and the interventions offered. Using data from qualitative interviews with six women's advocates and six shelter residents, the article explores and documents the advocates' practices and the impact of the shelter stay on women residents. The women's advocates report that they provide women residents time to become comfortable, empower them to set their own goals and make their own decisions, and then help them to connect to other community resources. They also stressed that shelters are homes and they want to create environments within their shelters that are nonchaotic and violence free, so that the interactions encountered in these settings are different from women residents' experiences with their abusive partners. The women residents reported receiving interventions that were similar to the descriptions that the advocates provided about their practice. For these women, being able to feel comfortable, safe, cared for, respected, and not judged was central to feeling helped during their shelter stay. Although the interview accounts revealed the importance of the relationship between advocates and residents, the findings also demonstrate that the environment within these shelters is equally significant to determining the quality of residents' experiences.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.326
Teacher spread0.278 · 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 designObservational
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

Citations34
Published2017
Admission routes1
Has abstractyes

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