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Record W2063308036 · doi:10.1177/0042085906291923

After the Makah Whale Hunt

2006· article· en· W2063308036 on OpenAlexaff
Michael Märker

Bibliographic record

VenueUrban Education · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousMulticulturalismSociologyModernityEnvironmental ethicsPoliticsPostmodernityTraditional knowledgeCultural pluralismMulticultural educationTribeIndigenous educationAnthropologyPolitical sciencePedagogyLawEcology

Abstract

fetched live from OpenAlex

This article examines the racist backlash against the Makah tribe for their treaty-protected right to hunt whales. It then explains some core epistemological aspects of indigenous peoples’ struggles that are outside discussions in multicultural education. This article also offers a contribution to our understanding of schools as political institutions in cross-cultural situations. Indigenous values foreground the moral principles that are presented in the interrelationships between human, natural, and spiritual worlds. Culturally responsive education from an indigenous perspective is sublimely ecological and place based. Such perspectives tend to detonate most multicultural assumptions about modernity, postmodernity, and progress while asserting pedagogies drawn from the “sentient landscape.”

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.004
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.002

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 head0.004
GPT teacher head0.250
Teacher spread0.246 · 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 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

Citations98
Published2006
Admission routes1
Has abstractyes

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