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Canada and the Legacy of the Indian Residential Schools: Transitional Justice for Indigenous People in a Nontransitional Society

2010· book-chapter· en· W369859977 on OpenAlexaffabout
Courtney Jung

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsWestern University
Fundersnot available
KeywordsTransitional justiceIndigenousEconomic JusticePolitical scienceHuman rightsDemocracyPoliticsContext (archaeology)Status quoTransformational leadershipSociologyPolitical economyLawPublic administrationGeographyPublic relations

Abstract

fetched live from OpenAlex

The framework of transitional justice, originally devised to facilitate reconciliation in countries undergoing transitions from authoritarianism to democracy, is used with increasing frequency to respond to certain types of human rights violations against indigenous peoples. In some cases, transitional justice measures are employed in societies not undergoing regime transition. This paper outlines some of the potential complexities involved in processing indigenous demands for justice through a transitional justice framework. First, governments and indigenous peoples may differ over the scope of injustices that transitional justice measures can address. Second, governments may try to use transitional justice to draw a line through history and legitimate present policy, whereas indigenous peoples may try to use the past to critique present policy and conditions. Third, governments may try to use transitional justice to reassert their sovereignty and legal authority, whereas indigenous peoples may try to resist this strategy, and even make competing claims to sovereignty and legal authority.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.193
Teacher spread0.184 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations22
Published2010
Admission routes2
Has abstractyes

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