MétaCan
Menu
Back to cohort
Record W7015986063

Victim-offender mediatión and victim s restoratión: a victimological study in the context of restorative justice

2017· other· en· W7015986063 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRestorative justiceCriminal justiceContext (archaeology)VictimologyEconomic JusticePower (physics)State (computer science)Theory of criminal justiceSkepticism
DOInot available

Abstract

fetched live from OpenAlex

In addition to suffering the consequences of the crime, victims are at times exposed to criminal procedures that, instead of contributing to their well-being, increase their suffering. This happens when criminal justice officials treat them with scepticism or when they feel excluded from the criminal proceedings and subsequently marginalised. In the last decades, as a response to concerns manifested by scholars, practitioners and victims themselves, international instruments such as the United Nations Declaration of Basic Principies of Justice for Victims of Crime and Abuse of Power (1985) have served as impulses for creating new provisions (such as victim impact statements or state compensation), oriented not only to improving the situation of the victim within the criminal justice system but also to improving the state response to victims' needs. Unfortunately, and despite good intentions, it has been argued that these instruments have not led to substantial improvements or have created new ways of segregation (see, e.g. Edwards, 2004; Sanders, 2002). Parallel to these initiatives, a new way to conceive "crime" started to emerge. In the 1970's, a Canadian judge proposed two young offenders to meet their victims and to collectively discuss how to repair their losses. At that time, there was no name for the procedure that was about to start (Umbreit et al., 2003). In the same years, a Norwegian criminologist published a controversia! article in which he claimed that the state, through the criminal justice system, had stolen the "crime" from the real owners: the victim and the offender (Christie, 1977). This way, restorative justice started to appear as a new approach that, by conceptualising the notion of "crime" differently, al so re-conceptualised the role of both victims and offenders in the solution of their conflict. Since the beginning restorative justice (RJ) has been understood as an approach that has the potential to address different aspects related to the aftermath of crime. In the particular case of victims of crime, restorative justice appeared to be a promising alternative that could resolve the limitations that other initiatives, coming from inside the criminal justice system, were not able to resolve. Achilles and Zehr describe RJ as "[p]erhaps the boldest initiative to address the roles of victims in justice within the modern era ( ... ). Arguing that the definition of justice underlying the western legal system is itself flawed, restorative justice seeks to refocus the conception of and approach to justice to one in which harm to victims is central to the definition of, and response to, crime" (Achilles and Zehr, 2001, p. 87). The current dissertation focuses on victims and restorative justice, that is, on the extent to which RJ indeed contributes to achieving the task that is at the centre of Introduction its intervention: to restare victims' harms. In order to contextualise the current research, a synthesis of the antecedents that motivated this research topic as well as the main characteristic of the study will be presented in the following paragraphs.

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)0.009
metaresearch head score (Gemma)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0170.039
Scholarly communication0.0120.013
Open science0.0030.010
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.295
Teacher spread0.265 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmericanae (AECID Library)French-language works237,207