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Record W2789913009 · doi:10.7202/1044479ar

USING RESTORATIVE PRACTICES TO TEACH AND UPHOLD DIGNITY IN AN AMERICAN SCHOOL DISTRICT

2018· article· en· W2789913009 on OpenAlexvenueno aff
Anna High

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsDignityRestorative justiceIndigenousPlan (archaeology)Promotion (chess)Best practiceSociologyEconomic JusticePedagogyPublic relationsPolitical scienceLawCriminologyGeographyPolitics

Abstract

fetched live from OpenAlex

The protection and promotion of dignity is a foundational objective of restorative justice. Dignity-enhancing restorative justice practices, which are rooted in the traditional practices of Indigenous people groups, have been widely adopted in schools reactively, as a response to specific infractions. A growing number of schools are adopting restorative practices proactively, with a view to preventing misbehaviour by improving climate and strengthening relationships. This report from the Evanston / Skokie School District (K-8) in Illinois explores a cost-effective restorative practice implementation plan that focuses on volunteers and teachers partnering to introduce one key proactive practice, sharing circles, to classrooms. Using Donna Hicks’ “essential elements of dignity” as a framework, I argue that restorative circle initiatives are a simple and effective means of transforming school communities by acknowledging, promoting and honouring the dignity of students.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.123
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.005
Scholarly communication0.0020.001
Open science0.0010.005
Research integrity0.0010.003
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 head0.625
GPT teacher head0.571
Teacher spread0.054 · 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

Citations17
Published2018
Admission routes1
Has abstractyes

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Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicEducation Discipline and InequalityFrench-language works237,207