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Indigenous Rights and Advanced Capitalism in Community Colleges: The Case of Nunavut Arctic College

2012· book-chapter· en· W2481397997 on OpenAlexaboutno aff
Patricia Gaviria

Bibliographic record

VenueInternational perspectives on education and society · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousArcticPolitical scienceGovernment (linguistics)Indigenous rightsSettlement (finance)Economic growthHomelandCapitalismGeographyPublic administrationEconomyHuman rightsBusinessPoliticsLawEconomics

Abstract

fetched live from OpenAlex

The Nunavut Land Claims Agreement (NLCA) between the Inuit in the Nunavut Settlement Area (formerly part of the Northwest Territories) and the Crown of Canada, led to the creation of Nunavut in 1999. A public government in the Inuit homeland, Nunavut has the responsibility to put into effect the Inuit rights and benefits set out in the NLCA as well as provide a wide range of services tailored to the needs of all Nunavummiut of which 85% are Inuit. With a vast and largely untapped mineral, oil, and gas potential, Nunavut is now preparing to a private sector market economy open to global investors in natural resource exploration and exploitation. Certainly, Nunavut is a place where economic development and indigenous rights intersect crosscutting global, national, and territorial boundaries. This chapter looks at how indigenous peoples rights and the imperatives of a globalized/globalizing economy, are projected into and taken up by Nunavut Arctic College, Nunavut's sole postsecondary education institution. Integrating textual and contextual instances of analysis, this chapter highlights how the College translates seemingly conflicting policy messages, into all-encompassing education practices that weave into the omnipresent right to indigenous self-determination.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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