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Record W3088437292 · doi:10.15353/jirr.v3.419

How Restorative Justice Practices Create Safer More Caring School Communities

2020· article· en· W3088437292 on OpenAlexaffvenue
Sage Streight

Bibliographic record

VenueJournal of integrative research & reflection · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHarmSAFERInjusticeRestorative justicePublic relationsAccountabilityContext (archaeology)Retributive justiceSociologyEmpathyEconomic JusticeCriminologyPolitical sciencePsychologySocial psychologyLawComputer security

Abstract

fetched live from OpenAlex

This paper looks at the traditionally retributive paradigm that is used in Western educational systems to control misbehaviour, issues of injustice, and violence in schools. The paper first talks about the ineffectiveness of this paradigm in creating communities of care and safer schools. The paper then offers that restorative justice (RJ) practices are more effective at creating communities of care and making schools safer. In fact, many schools in North America have been recognizing this and thus implementing RJ practices. The paper looks in depth as to what RJ is and how it is relevant to and works within the school context. This is done to show that RJ changes how individuals view harm. The traditional retributive paradigm views harm as an act of injustice against the state/law, whereas RJ views harm as harm against human beings. This means that RJ fosters understanding, accountability, empathy, connection, and learning positive reconciliation skills that can both be reactive and preventive ways to address harm in schools. Through all these things RJ looks to address the root causes of harm and attend to unmet needs that result from a specific harmful action.
 These findings are important in the paper as they provide an understanding as to why RJ is then relevant in schools. The paper goes on to argue that RJ is relevant in schools because schools are tasked with socializing children, provide behaviour management, and are currently places where violence frequently occurs. These three factors are extremely important in shaping how individuals and communities operate. Because of this, RJ is argued to be necessary and relevant in order to ensure positive and constructive measures. Next, the paper looks at what circles are and how using circles as an RJ practice in schools can create constructive dialogue that leads to understanding that can reduce incidents of harm and injustice and help to develop communities of care. A study by Ortega, Lyubansky, Nettles, & Espelage (2016) is presented to support these findings.
 Furthermore, the paper presents how circles could realistically and effectively be implemented in schools according to Braithwaite (2001). Circles need to be implemented on a school wide level, accessible to everyone, and with the hope that they become an everyday practice for individuals to use to resolve issues of harm and injustice. The paper concludes by reiterating that using circles as an RJ practice creates broader participation in schools and fosters a collective value and stake in what happens within a school. This is done through the intentional dialogue of circles, which is proven to foster community, understanding, and needs being met. Ultimately, this makes schools operate in a more responsible way where individuals look out for how their actions are affecting those around them, ultimately making them more conscious citizens and the school a safer place.

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)0.004
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.428
GPT teacher head0.551
Teacher spread0.123 · 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 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
Published2020
Admission routes2
Has abstractyes

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