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Record W1497439928 · doi:10.1080/15595690709336598

Reclaiming Indigenous Representations and Knowledges

2007· article· en· W1497439928 on OpenAlexafffundabout
Judy M. Iseke-Barnes, Deborah Danard

Bibliographic record

VenueDiaspora Indigenous and Minority Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsInstitute for Christian StudiesUniversity of TorontoLakehead University
FundersSociety for the Humanities, Cornell UniversityMcMaster University
KeywordsIndigenousOffensivePoliticsMedia studiesOutrageTreatySociologyIdeologyPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

This article explores contemporary Indigenous artists', activists', and scholars' use of the Internet to reclaim Indigenous knowledge, culture, art, history, and worldview; critique the political realities of dominant discourse; and address the genocidal history and ongoing repression of Indigenous peoples. Indigenous Internet examples include discussion of Cheryl L'Hirondelle's “Treaty Cards,” which allow visitors to create or modify treaty cards to better represent their identities; Lawrence Paul Yuxweluptun's challenge to imposed beliefs and ideologies and reclaiming and redefining Indigenous west coast (of Canada) Aboriginal artwork; and the Natives Against Media Stereotypes' global campaign to express outrage at CBS's television program “Survivor–Guatemala,” which portrayed contestants adopting outrageously offensive stereotypes of Indigenous peoples. Conclusions challenge Western society to decolonize its own structure and systems and to find ways to construct its identities in ways other than through the control and defining of Indigenous “others.” Education is suggested as one place to start.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.994

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 studies0.0100.000
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 head0.018
GPT teacher head0.330
Teacher spread0.312 · 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 designQualitative
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

Citations17
Published2007
Admission routes3
Has abstractyes

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