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Record W3167127015 · doi:10.59962/9780774863094

Nested Federalism and Inuit Governance in the Canadian Arctic

2020· book· en· W3167127015 on OpenAlexaboutno aff
Gary N. Wilson, Christopher Alcantara, Thierry Rodon

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismCorporate governanceArcticGeographyThe arcticPolitical scienceOceanographyEconomicsGeologyLawManagementPolitics

Abstract

fetched live from OpenAlex

The Canadian federal system was never designed to recognize Indigenous governance, and it has resisted formal institutional change. But change has come. Indigenous communities in the North have successfully negotiated the creation of self-governing regions, most of which have been situated politically and institutionally within existing constituent units of the Canadian federation. These varied governance arrangements are forms of nested federalism, a model that is transforming Canadian federalism as it reformulates the relationship between Indigenous peoples and the state. Nested Federalism and Inuit Governance in the Canadian Arctic traces the political journey toward self-governance taken by three predominantly Inuit regions over the past forty years: Nunavik in northern Québec, the Inuvialuit Settlement Region in the western Northwest Territories, and Nunatsiavut in northern Labrador. This meticulous analysis of the regions’ development trajectories provides new insight into the evolution of Indigenous self-government, as well as its consequences for Indigenous communities and for Canadian federalism.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.693

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0160.007
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.210
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations25
Published2020
Admission routes1
Has abstractyes

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