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Record W2971823639

The design of an intervention to reduce violence in the family: A family–centred approach

2018· article· en· W2971823639 on OpenAlexfundno aff
Jill Ryan

Bibliographic record

VenueUniversity of the Western Cape Electronic Theses and Dissertations Repository (University of the Western Cape) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
FundersLietuvos Sveikatos Mokslų UniversitetasUniversiteit StellenboschUniversity of Cape TownNational Research FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaNedbankMcMaster UniversityUnited Nations Population Fund
KeywordsIntervention (counseling)Domestic violenceDelphi methodPsychological interventionPsychologyPoison controlMedicineHuman factors and ergonomicsComputer sciencePsychiatryMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

Violence occurs in different environments, however, it is often found in the family with family members being the perpetrators.Family violence, as an integrative concept, is defined by few researchers or theorists, let alone conceptualised as a theoretical grounding for family-centred interventions aimed at violence in the home.However, family members are all affected in the act of any violence in the family, thus any intervention should include the whole family.A family-centred approach focuses on all family members to be included in the intervention and is acknowledged as the best method when trying to create an intervention for family violence.Thus, the aim of this study was to design an intervention programme for families experiencing family violence in order to reduce violence in the family.To create such a programme, intervention mapping was the chosen design for this study.Intervention mapping has five steps, 1.) Specify the programme's goals into proximal programme objectives.In this stage, needs are identified; 2.) Selection of theoretical and practical strategies; 3.) Design the programme, 4.) Implementation of the programme, and 5.) Focus on anticipating process and effect evaluation.However, this study only focused on the first 3 steps of intervention development, namely, Phase I, a family violence needs assessment done to identify the problem, Phase II entailed a review done to determine appropriate theoretical and practical approaches for the intervention regarding family violence, and lastly, Phase III had been a Delphi study which aided in the design and development of the intervention.This study showed promising results with proven long-term positive effects in implementing a familycentred approach, and when coupled with a collaborative network of support services, political will, and community support, and has the ability to ensure continuity of care and improved functioning for families experiencing violence in the home.v DEDICATION This work is dedicated to all the participants who have contributed greatly to the field of family violence, by selflessly committing to service excellence and continue having the passion and drive to make a positive difference for the families they aid and assist.Secondly, this work is aimed to uplift and empower families enduring violence, so they may reach fulfilment in their family life and enjoy a functioning and supportive family environment.Lastly, and most importantly, my efforts and persistence in navigating the many challenges, and inspirational moments within this PhD journey has only been possible through the mercy and grace of God the Almighty, of whom all praise and success belong to Him and all errors are my own.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0040.005
Scholarly communication0.0030.003
Open science0.0030.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.299
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes1
Has abstractyes

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