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Record W2888168712 · doi:10.5204/ijcis.v5i1.95

Critical Indigenous Studies in the Classroom

2012· article· en· W2888168712 on OpenAlexaffabout
Chris Andersen

Bibliographic record

VenueInternational Journal of Critical Indigenous Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousScholarshipDisciplineInstitutionColonialismMandatePrivilege (computing)SociologyCritical race theoryPolitical scienceRacismSocial scienceGender studiesLawEcology

Abstract

fetched live from OpenAlex

Part of the mandate of most Indigenous Studies faculties/departments is to critically examine the historical and contemporary relationship between Aboriginal and settler societies. However, the multidisciplinarity of Indigenous Studies scholars and scholarship means that such critical examination can and does vary widely by institution and even between faculty members within the same institution. This article positions three pedagogical choices - studying ‘the local’, the use of primary evidence and the use of discourse analysis-as promoting the integration of disciplinary methodological differences while imbuing Indigenous Studies with a distinctive disciplinary trajectory. Moreover, I demonstrate how a particular emphasis on local Indigenous/settler relationships denaturalises the structures of racism anchoring the white privilege characterising power relations in colonial nation states like 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0150.019
Scholarly communication0.0090.006
Open science0.0020.009
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.317
GPT teacher head0.548
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2012
Admission routes2
Has abstractyes

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