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Record W1942139705 · doi:10.2304/pfie.2005.3.2.4

Cultural Studies, Indigenous Knowledge and Pedagogies of Hope

2005· article· en· W1942139705 on OpenAlexaff
Makere Stewart‐Harawira

Bibliographic record

VenuePolicy Futures in Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlobalizationIndigenousIdeologySociologyContext (archaeology)Resistance (ecology)Postcolonialism (international relations)EmpireEnvironmental ethicsSocial sciencePolitical economyEpistemologyPolitical scienceLawPoliticsHistory

Abstract

fetched live from OpenAlex

Notions of crisis and chaos have become the rationale for a new discourse in which empire is the logical outcome of a world no longer secure. One level at which this is manifested is in the rejection by the USA of international agreements to which it is signatory, in the demonstrated failure of the Bretton Woods system to meet its declared objectives, and in the increasingly broad and globalized resistance to globalization. Another is in the attacks on particular forms of knowledge and academic freedom by strong neoconservative elements which seek the reconstruction of societies within a particular cultural and ideological framework. In this context, the construction of pedagogies which articulate a different vision for global order has become a contested and critical task. This article argues two things: first, that the study of culture and ethnicity is vitally important in developing pedagogies for better ways of being in the world, and second, that indigenous cultural knowledge is profoundly relevant to this endeavour.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.043
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.485
Teacher spread0.426 · 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 designTheoretical or conceptual
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

Citations71
Published2005
Admission routes1
Has abstractyes

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