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Record W4224310648 · doi:10.1177/10497315221087232

Virtual Support and Intimate Partner Violence Services: A Scoping Review

2022· review· en· W4224310648 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch on Social Work Practice · 2022
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsCarleton UniversityWestern University
Fundersnot available
KeywordsPsychological interventionDomestic violenceApplied psychologyVideoconferencingPsychologyFocus groupThe InternetIntervention (counseling)Social workPoison controlMedical educationSuicide preventionMedicineComputer scienceSociologyMultimediaPolitical sciencePsychiatryEnvironmental healthWorld Wide Web

Abstract

fetched live from OpenAlex

Purpose This article reports on a scoping review that maps the empirical research on virtual intimate partner violence (IPV) interventions. Method Following the Joanna Briggs Institute’s nine-step scoping review methodology, 25 studies were selected. Results The majority of the studies (72%) were published in the United States, and included quantitative (56%), mixed methods (24%), and qualitative study designs (20%). The most frequent focus of the virtual interventions to support survivors of IPV included safety (52%), with other interventions focusing mainly on treatment (36%), and education and prevention (12%). Forms of interventions included interactive, internet-based (72%), smartphone apps (16%), live videoconferencing (8%), and an asynchronous chatroom (4%). Barriers and strengths of virtual IPV interventions are identified. Discussion From this analysis, emerging models in virtual IPV intervention are identified, as well as next steps necessary in virtual IPV practice and research. The article concludes with implications for social work practice and 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.

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)0.023
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.004
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.301
GPT teacher head0.565
Teacher spread0.264 · 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