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Record W2988650651

Frontline reflections of restorative justice in Winnipeg: considering settler colonialism in our practice

2016· dissertation· en· W2988650651 on OpenAlexaboutno aff
Maraleigh Short

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismEconomic JusticeRestorative justiceCriminologySociologyPolitical scienceGender studiesEnvironmental ethicsLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Based on the reflections of frontline workers, this paper explores restorative justice programming in Winnipeg, Manitoba and critically raises questions around settler colonialism, the justice process, and the “participant” “worker” relationship. Within settler colonial theory, the criminal justice system is seen as a colonial project that continues to disproportionately control and confine Indigenous Peoples. Exploring how workers understand settler colonialism and the restorative justice difference in their work and in their relationship with participants, this thesis argues that, to its detriment, restorative justice theory has not adequately considered settler colonialism. Grounded in a critical constructivist research paradigm, data was collected through one-on-one interviews and focus groups with ten frontline workers who are program coordinators, victim offender mediators, and community workers. Framed by the writer’s own experience as a frontline worker, the collected narratives offer critical, yet hopeful insight into restorative justice theory and practice, particularly within settler colonial contexts.

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)0.004
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 score0.507
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0340.016
Scholarly communication0.0060.002
Open science0.0020.008
Research integrity0.0030.005
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 head0.029
GPT teacher head0.328
Teacher spread0.299 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

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