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Record W3173032992 · doi:10.1080/2201473x.2021.1935574

‘I don’t need any more education’: Senator Lynn Beyak, residential school denialism, and attacks on truth and reconciliation in Canada

2021· article· en· W3173032992 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

VenueSettler Colonial Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousLawGenocideSociologyRacismPrivilege (computing)Power (physics)ColonialismCommissionPolitical science

Abstract

fetched live from OpenAlex

In 2017, Lynn Beyak, a Canadian Senator, delivered a controversial speech defending Canada’s Indian Residential School system (1883–1996) as being ‘well-intentioned.’ Made shortly after the Truth and Reconciliation Commission of Canada released its final report to show Canadians the evidence of how residential schooling for Indigenous children and youth constituted genocide, the Senator’s speech sparked national debate. This article historicizes and theorizes the role of denialism in colonial settings to argue that speech acts such as Beyak’s can be understood as a discursive strategy used by colonizers to legitimize and defend their material power, privilege, and profit. The article examines Beyak’s public comments as well as 100 support letters she received and published on her Senate website to show how they embrace anti-Indigenous racism generally and employ residential school denialism specifically to attack and undermine truth and reconciliation efforts in Canada.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.999

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 studies0.0030.000
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 head0.017
GPT teacher head0.317
Teacher spread0.300 · 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