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Record W2802017509

THE TRANSFORMATIVE POTENTIAL OF THE TRUTH AND RECONCILIATION COMMISSION: A SKEPTIC’S PERSPECTIVE

2017· article· en· W2802017509 on OpenAlexaboutno aff
Michael Coyle

Bibliographic record

VenueThe Canadian Bar Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionMandateIndigenousTransformative learningPolitical scienceState (computer science)Power (physics)Perspective (graphical)LawSkepticismPublic administrationColonialismSociologyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

From 2009 to 2014, Canada’s Truth and Reconciliation Commission (TRC) heard the testimony of Indigenous persons who had once been students in Indian Residential Schools and held events to permit discussions with the Canadian public about the impact and consequences of the historic effort to assimilate Indigenous individuals and erase their cultures. In doing so, the TRC performed its mandate with sensitivity and skill. This article focuses on the final report of the TRC that, the author argues, fails to focus sufficiently on the means by which Canadian law and policy continues to deny Indigenous peoples the power to assure their own welfare. The project of reconciliation with Indigenous peoples was not aided by this failure to communicate clearly the extent to which the colonial attitudes that led to the residential schools policy remains firmly anchored in the structures of the Canadian state. Through an examination of the basic elements of the concept of reconciliation, including reciprocal engagement and relational change, this paper concludes that a different approach will be required to mobilize the transformation implicit in meaningful reconciliation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0210.001
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 head0.023
GPT teacher head0.318
Teacher spread0.295 · 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
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

Citations1
Published2017
Admission routes1
Has abstractyes

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