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Record W2039232033 · doi:10.1177/1057567711399433

Sentencing Circles in Canada and the Gacaca in Rwanda: A Comparative Analysis

2011· article· en· W2039232033 on OpenAlex
Nicholas A. Jones, Rob Nestor

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Criminal Justice Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPolitical scienceCriminologyLawSociology

Abstract

fetched live from OpenAlex

This paper provides a theoretically based comparison of sentencing circles practiced by the First Nations Peoples of Canada with the Gacaca courts in Rwanda. It presents a description of each justice-oriented model and compares them engaging a restorative justice theoretical framework. It employs McCold’s typology and Zehr’s continuum in determining the relative ‘‘restorativeness’’ of each model. It then compares the models by exploring some key theoretical elements posited in the purist—maximalist debate in restorative justice and Braithwaite’s theory of responsive regulation. Using the comparisons this paper seeks to contribute to the purist—maximalist debate, providing insight into contentious concepts through their examination in two very different contextual settings. It is posited that Braithwaite’s theory of responsive regulation provides a structure that addresses the concerns noted in the two models as well as provides for the pursuit of holistic restorative practices while accommodating other restorative processes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.351
Teacher spread0.274 · 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