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Record W2383091666 · doi:10.1017/s0032247416000164

Articulating the Arctic: contrasting state and Inuit maps of the Canadian north

2016· article· en· W2383091666 on OpenAlexafffundabout
Mia M. Bennett, Wilfrid Greaves, Rudolf Riedlsperger, Albéric Botella

Bibliographic record

VenuePolar Record · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of OttawaMemorial University of NewfoundlandUniversity of Toronto
FundersCanadian Armed Forces
KeywordsArcticIndigenousGovernment (linguistics)State (computer science)PoliticsGeographyPublic policyPolitical scienceThe arcticEthnologyPublic administrationSociologyOceanographyLawEcology

Abstract

fetched live from OpenAlex

ABSTRACT This paper compares four maps produced by the Canadian government and Inuit Tapiriit Kanatami, the indigenous peoples’ organisation representing Inuit living in the four recognised Inuit regions (Inuit Nunangat) of Canada. Our analysis is based on publicly available maps, documents, and records and extends the rich existing literature examining the history of definitions of the Canadian north. Distinctly, our research aims to understand the different ways in which the Arctic has been articulated as a geographic, political, and social region during the Harper government (2006–2015) and the effects these articulations have had on northern policy and people. We find that the federal government maintained a flexible definition of the Canadian Arctic as a region when in pursuit of its own policy objectives. However, when it comes to incorporating areas outside the boundaries of Canada's three federal territories, particularly communities along their southern fringes, those boundaries are inflexible. The people who live in these areas, which the state considers to be outside the Canadian Arctic, are marginalised within Arctic public policy in terms of access to federal funds, determination of land use, and a sense of social belonging to the Canadian Arctic. Our goal in this paper is to demonstrate that national-level disputes over what constitutes ‘the Arctic’ can significantly impact the day-to-day lives of people who live within and just outside the region, however it is conceived.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.017
Science and technology studies0.0100.004
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0000.001
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 head0.022
GPT teacher head0.261
Teacher spread0.239 · 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

Citations30
Published2016
Admission routes3
Has abstractyes

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Same venuePolar RecordSame topicArctic and Russian Policy StudiesFrench-language works237,207