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Record W2474583523

Intimate partner violence and the male victim: an exploration of literature relating to the awareness of male victims of domestic violence and implications for social work practice

2014· dissertation· en· W2474583523 on OpenAlexaboutno aff

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceSocial workPolitical scienceSubject (documents)CriminologyWork (physics)Public relationsSuicide preventionPsychologyPoison controlMedicineEngineeringLawLibrary scienceMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

This report seeks to explore the reaction to male victims of domestic violence within the UK. In literature and official guidance there is little mention of men. Looking at social work practice it is becoming increasing common to find that men have been subject to abuse from female partners, but the reaction from services and professionals appears to be lacking. Using research from journals and reports in the UK, USA, Canada, Australia and New Zealand, this paper seeks to review the main themes in the debate around male victims of domestic violence; social conditioning, gender stereotyping and feministic overtones, leading onto the reasons for a lack of response which include institutional genderism, bias and a lack of regard for changing societal gender roles, the issues that surround current services and provision, concluding with what potentially the UK could improve upon. Whilst in essence services, support, and funding for female protection will take precedent due to sheer numbers, this review gives an introduction to some of the topics within this field of discussion and pin points areas where improvements could be made that would considerably help and support male victims, whilst also improving professionals educational and working foundations.

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 categoriesMeta-epidemiology (narrow), Science 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 score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.003
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 head0.022
GPT teacher head0.295
Teacher spread0.272 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueUPT. Syiah Kuala University Library (Syiah Kuala University)Same topicIntimate Partner and Family ViolenceFrench-language works237,207