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Record W2798856023

Nunavut’s Education Act: Education, Legislation and Change in the Arctic

2012· article· en· W2798856023 on OpenAlexaffabout
Heather E. McGregor

Bibliographic record

VenueNorthern review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLegislationScrutinyGovernment (linguistics)Public administrationEducation ActPoliticsPopulationPromotion (chess)Political scienceNegotiationEconomic growthSociologyLawPublic relationsSpecial education
DOInot available

Abstract

fetched live from OpenAlex

The 2008 Nunavut Education Act endeavours to call the public education system to account for linguistic, cultural and local relevance to the majority Inuit population. Development of the legislation involved lengthy scrutiny of every previous and newly proposed law, to confirm that they coincide with a new vision of education. Implementation of the Act is now necessitating system transformation on the part of educators, administrators, district education authorities and territorial government officials on a substantial scale. This article will explore the historical roots of the 2008 Act. Renewal of the education system was made possible and necessary by the creation of Nunavut Territory in 1999, which grew out of the Nunavut Land Claims Agreement and negotiations for increased Inuit self-government, but efforts to return ownership of the school system to parents and community members has largely occurred separate from this political movement. Situating the Act in the history of educational policy and decision-making, it can be seen as a milestone in a longer change process aimed at creating schools that better reflect communities and the needs of northern students. Considering the inherent potential of education to reflect and to sustain Inuit self-determination, linguistic protection and cultural promotion, the intersection of education with politics through the 2008 Act was long in coming. However, education is now seen to be one of the Nunavut government’s most important priorities. This is well worth recognizing in the history of education in Nunavut, and in Canada as well.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.191
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.359
Teacher spread0.319 · 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

Citations13
Published2012
Admission routes2
Has abstractyes

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