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Record W2619091333

Towards an Understanding of Aboriginal Regional Corporations: The Case of the Inuvialuit of the Western Arctic of Canada

2016· article· en· W2619091333 on OpenAlexaboutno aff
James C. Saku

Bibliographic record

VenueGeographical research forum/Geography research forum · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationArcticSettlement (finance)SubsidiaryGeographyHuman settlementEconomic geographyPolitical scienceRegional scienceEconomic growthBusinessEconomicsMultinational corporationArchaeologyEcology
DOInot available

Abstract

fetched live from OpenAlex

A new approach to economic development in northern Canadian Aboriginal communities emerged about three decades ago. Through the settlement of Modern Land Claim Agreements (MLCAs), Aboriginal corporations were created to address regional economic issues of Aboriginal people. With complex institutional structures, these corporations provide the opportunity for Aboriginal people to be involved in the management and decision-making process of their lands and communities. This paper examines the corporate structures created in the Western Arctic of Canada when the Inuvialuit Final Agreement (IFA) was achieved in 1984. In particular, the functions of the Inuvialuit Regional Corporation (IRC) and its subsidiaries in advancing regional economic development of the Inuvialuit are examined.

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)0.014
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0080.008
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.002
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 head0.166
GPT teacher head0.462
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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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