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Record W2546797847 · doi:10.1080/14675986.2016.1240497

The morning after Canada’s Truth and Reconciliation Commission report: decolonisation through hybridity, ambivalence and alliance

2016· article· en· W2546797847 on OpenAlex

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

VenueIntercultural Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsCollege of the Rockies
Fundersnot available
KeywordsIndigenousAllianceSociologyTribunalCommissionAutoethnographyPolitical scienceHybridityPublic administrationGender studiesLawAnthropology

Abstract

fetched live from OpenAlex

In Canada, 2015 will be remembered for the publication of the Truth and Reconciliation Commission Report which related to all Canadians the impacts of the Indian residential school system. The Commission invokes the United Nations Declaration on the Rights of Indigenous Peoples and uses the term reconciliation as a national strategy for moving forward. This paper employs an autoethnographic methodology and proposes that reconciliation might benefit by finding ways of confronting the Other within; I describe my reflections on a trip to the 2015 conference Learning at Intercultural Intersections at Thompson Rivers University. My social and cultural experiences as a Korean Canadian academic and administrator are challenged in order to consciously shift my own colonising mindset. Reconciliation in Canada will require significant personal, professional, institutional and sociocultural inquiry. What does it mean to discover the Other within? How do we walk with Indigenous peoples? How do educators come to be called ally by Indigenous peoples?

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.289
Teacher spread0.275 · 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