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Record W2400459144

Two faces of transitional justice: Theorizing the incommensurability of transitional justice and decolonization in Canada

2016· article· en· W2400459144 on OpenAlexaffabout
Jennifer Matsunaga

Bibliographic record

VenueDecolonization: Indigeneity, Education & Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsQueen's University
Fundersnot available
KeywordsTransitional justiceRedressDecolonizationEconomic JusticePoliticsPolitical scienceIndigenousSociologyLawState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Transitional justice is a complex form of political and legal intervention used by state governments to redress state-sanctioned and large-scale harms (Balint, Evans, & McMillan, 2014). The typical aims of this model include maintaining peace during times of political flux, installing rule-of law, creating new historical narratives, and reconciliation (Teitel, 2003). In both theory and practice, transitional justice usually concerns ‘fragile states’ or post-conflict states. Governments, academics and practitioners, however, are broadening transitional justice theory and practice to include harms to Indigenous peoples in settler states such as Canada. Notably, recent efforts seek to integrate ‘decolonization’ into transitional justice as a desired process or goal. This paper is a critical intervention into this trend. I demonstrate that Canada has two faces of transitional justice – one, internally focused on ‘reconciliation’ with Indigenous peoples and the other, externally focused on providing peace and security expertise to fragile states. I bring land-centered understandings of decolonization and Indigenous resurgence into conversation with this duality to argue that efforts to incorporate decolonization into transitional justice, without taking seriously its roots and the international transitional justice work with which Canada is engaged, does more to obscure and de-legitimize Indigenous nationhood and settler colonialism entirely.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.013
GPT teacher head0.298
Teacher spread0.286 · 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 designObservational
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

Citations30
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueDecolonization: Indigeneity, Education & SocietySame topicIndigenous Health, Education, and RightsFrench-language works237,207