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Record W592324245 · doi:10.5206/cie-eci.v37i1.9110

Is Decolonization the Answer to Indigenous Under-achievement? Comparing Rhetoric with Reality in New Zealand and Canada

2008· article· en· W592324245 on OpenAlexaffvenueabout
John R. Minnis

Bibliographic record

VenueComparative and International Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsRhetoricDecolonizationIndigenousEthnologyHumanitiesContext (archaeology)Political scienceSociologyHistoryPhilosophyLawTheology

Abstract

fetched live from OpenAlex

The paper compares the rhetoric of decolonization put forth by indigenous scholars with the reality of educational outcomes in New Zealand and Canada and discusses the implications of two common themes emerging from the discourse: (1) cultural determinism in which both First Nations and Maori scholars fundamentally but narrowly depict education as a means to conserve language and cultural heritage -- which results, intentionally or unintentionally, in (2) a hardening of racial/ethnic boundaries. The paper critiques the appropriateness of both themes in the context of the widely accepted notion that indigenous peoples in both countries need to attain higher levels of educational attainment and improve educational performance in order to compete in a knowledge-based, global economy. L'article compare la rhétorique de décolonisation avancée par les érudits autochtones avec la réalité des résultats de l'enseignement en Nouvelle-Zélande et au Canada et discute la portée des deux thèmes communs qui émergent des discours: (1) un déterminisme culturel dans lequel les érudits des Premières Nations et du peuple Maori représentent l'éducation de façon fondamentale mais étroite, comme le moyen de préserver l'héritage linguistique et culturel -- dont les résultats volontaires ou involontaires, amènent à (2) un durcissement des frontières raciales ou ethniques. L'article critique la justesse des deux thèmes dans le contexte de la notion généralement acceptée que les peuples autochtones dans ces deux pays ont besoin d'atteindre un niveau d'éducation plus élevé et d'améliorer leurs accomplissements académiques pour pouvoir compéter dans une économie globale et basée sur la connaissance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.417

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 studies0.0000.000
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 head0.130
GPT teacher head0.406
Teacher spread0.276 · 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.

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

Citations3
Published2008
Admission routes3
Has abstractyes

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