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Record W4306786699 · doi:10.1177/02697580221128830

Restoring victims’ confidence: Victim-centred restorative practices

2022· article· en· W4306786699 on OpenAlexaffabout
Jo-Anne Wemmers, Isabelle Parent, Marika Lachance Quirion

Bibliographic record

VenueInternational Review of Victimology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBlameConvictionCriminal justiceCriminologySexual violenceVictimologyPsychologyPoison controlSexual assaultRestorative justiceSuicide preventionSocial psychologySexual abusePolitical scienceMedicineMedical emergencyLaw

Abstract

fetched live from OpenAlex

Victimization, and in particular sexual violence, undermines victims’ confidence and self-esteem. Victims often feel guilty and blame themselves for what happened. Fearing negative reactions, victims of sexual violence are often reluctant to report the crime to police. When victims do report to the police, the criminal justice process is often difficult and most sexual violence cases do not end in a conviction. Restorative practices (hereafter RP) have been presented both as a possible alternative and a complement to the criminal justice process, which could improve victims’ experiences. However, there is also considerable resistance to the use of RP in cases of gender-based violence. Using a victim-centred lens, in which it is seen as a reaction to victimization that aims to address the needs of the victim and allow them to advance in their healing process, we examine RP. Based on semi-structured interviews with 18 victims of sexual violence in Canada who participated in RP, we explore the healing potential for victims. We conclude that for victims of sexual violence, victim-centred RP should be viewed as a tool for victim support and not only as another tool in the criminal justice toolkit.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.756
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.065
GPT teacher head0.416
Teacher spread0.351 · 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 designNot applicable
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

Citations19
Published2022
Admission routes2
Has abstractyes

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