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Record W4299506936 · doi:10.46692/9781447333067.008

Research on Restorative Justice in Cases of Intimate Partner Violence

2017· other· en· W4299506936 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsRestorative justiceCriminologyEconomic JusticePsychologyForensic engineeringPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Introduction This chapter will review the evaluation research on restorative justice (RJ) in cases of intimate partner violence (IPV). What do we know about how well RJ ensures the safety and immediate needs of survivors? What do we know about whether survivors feel a sense of justice as a result of these practices? What do we know about the ability of these practices to hold offenders accountable, and to prevent further offending? The discussion begins with a brief description of the three most common forms of RJ, and a brief look at some of the evaluation research conducted on these practices. Next, the research literature on RJ and IPV will be reviewed. Following this review, attention will be paid to some recent developments in RJ and other alternative approaches to crimes of sexual assault and severe violence. The research literature on RJ and IPV is remarkably small, and as a result the potential of RJ might best be seen by also considering its application to other serious forms of victimization. Common forms of RJ There are three forms of RJ that are commonly used in cases of IPV—namely, victim–offender mediation (VOM), family group conferencing, and peacemaking and sentencing circles—all of which share a set of goals. They seek to hold offenders accountable; empower those who are victimized; allow for the expression of feelings; clarify facts about the crime; provide an opportunity to address the impact of the crime on the survivors and those around them; and come to an agreement about how the offender can make amends. Victim–offender mediation (VOM) VOM involves a direct, mediated interaction between victims and offenders. This is sometimes called victim–offender dialog (VOD), or (as will be discussed later) victim–offender conferencing (VOC). The power of this process lies in the emotional exchange between the parties. Extensive preparation of both victims and offenders is essential to effective practice. The mediator must explain the process and the potential outcomes to both parties. Mediators also need to assess whether the victims and offenders are ready for such an encounter. Arising in Canada and the US in the early 1970s, VOM is now a global phenomenon; there are now over 1,200 programs worldwide (Victim Offender Mediation Association, 2014).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.209
GPT teacher head0.469
Teacher spread0.260 · 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

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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