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Record W124911986

Risk for intimate partner violence : an investigation of the psychometric properties of the Spousal Assault Risk Assessment Guide in a New Zealand population : a thesis presented in partial fulfilment of the requirements for the degree of Doctorate of Clinical Psychology at Massey University, Wellington, New Zealand

2012· dissertation· en· W124911986 on OpenAlex
Uvonne Callan-Bartkiw

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMassey Research Online (Massey University) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersMcMaster University
KeywordsPsychologyDomestic violencePopulationSocial psychologyDegree (music)Applied psychologyClinical psychologyHuman factors and ergonomicsMedicinePoison controlMedical emergencyEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

International and national studies have consistently shown intimate partner
\nviolence is a common phenomenon that cuts across all societies, education and
\nsocioeconomic levels, and ethnic and cultural groups. The impact of which includes
\nnegative physical and mental health consequences for the victims. Risk assessments
\nmay play a role in assisting the management and/or prevention of harm. Assessment of
\nan offender’s risk of future violence play a central role in decision making pertaining to
\nthat person’s sentencing, community release, case management, and public safety
\nconcerns. Yet the assessments also need to ensure that the rights of the individual being
\nassessed are not violated by misclassification. One method for addressing this issue is to
\nensure that risk assessment measures are accurate, that is, the measure is reliable and
\nvalid. In New Zealand to date, no intimate partner violence risk assessment tools have
\nbeen evaluated. The current study, therefore, aims to fill this void by investigating the
\nreliability and validity of the Spousal Assault Risk Assessment (SARA) guide. This was
\nachieved in three parts, using a sample of 43 men recruited from community based
\nstopping violence programmes. Part One evaluated the internal consistency and
\ninterrater reliability of the SARA, Part Two evaluated the convergent and discriminant
\nvalidities, and Part Three, which employed a prospective design with 36 participants
\nfrom the total sample, evaluated the predictive validity and incremental validity of the
\ndynamic risk factors. The findings indicated that while the internal consistency, and
\nconvergent, discriminant, and predictive validates were adequate, the dynamic risk
\nfactors did not evidence incremental validity over the static risk factors, and the
\ninterrater reliability was variable. In addition, it was found that the source of
\ninformation provided to the observers impacted on the resulting agreement coefficients.
\nTherefore, before the SARA is implemented as a risk assessment measure in New
\nZealand methods for improving the interrater reliability and exploration of the
\nusefulness of the dynamic risk factors in reducing risk should be explored.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.280
GPT teacher head0.472
Teacher spread0.192 · 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