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Record W2154472298 · doi:10.14430/arctic101

<i>Inuit Qaujimajatuqangit</i>: Social History, Politics and the Practice of Resistance

2009· article· en· W2154472298 on OpenAlexafffundvenueabout
Frank Tester, Peter Irniq

Bibliographic record

VenueARCTIC · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of British Columbia
FundersFisheries and Oceans Canada
KeywordsGovernment (linguistics)PoliticsIndigenousTraditional knowledgeResistance (ecology)Environmental ethicsIntelligence quotientSociologyPolitical scienceEthnologyPsychologyEcologyLawCognitionLinguistics

Abstract

fetched live from OpenAlex

The creation of the Nunavut government has been accompanied by an emphasis on Inuit knowledge—Inuit Qaujimajatuqangit (IQ)—in the making of policy and in procedures affecting Nunavutmiut (Nunavummiut). Definitions of IQ parallel those of traditional ecological knowledge (TEK), indigenous knowledge (IK), and traditional knowledge (TK). The extent to which cosmologies and belief systems are incorporated into definitions of these terms and the extent to which their use is narrowly focused on the management of biological resources are ongoing sources of concern. The language used to define and promote IQ often serves to move IQ away from its cosmological implications and define it as a tool useful for filling gaps in scientific knowledge. To appreciate a seamless definition of IQ, a better understanding of Inuit social and cultural history is necessary. An examination of this history depicts IQ as a form of resistant practice that can seriously challenge characteristic assumptions of Western science, such as the separation of humans from other forms of life. Inuit operating with a seamless definition of IQ are, however, confronted with contemporary social, economic, and political realities that challenge and may limit the use of IQ in the management and development of Nunavut.

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 score0.527
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0140.010
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.022
GPT teacher head0.327
Teacher spread0.305 · 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

Citations100
Published2009
Admission routes4
Has abstractyes

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Same venueARCTICSame topicIndigenous Studies and EcologyFrench-language works237,207