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Native Canadian daily life in the Northwest Passage context

2023· article· en· W4390271243 on OpenAlexaboutno aff
A. V. Mitko, V. K. Sidorov

Bibliographic record

VenueThe Arctic XXI century Humanities · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousArcticPoliticsContext (archaeology)Government (linguistics)GeographyCircumpolar starPolitical scienceState (computer science)The arcticIndigenous rightsEthnologySociologyOceanographyEcologyLawArchaeology

Abstract

fetched live from OpenAlex

This article explores the connection between the indigenous populations of the North and the Canadian government regarding the Northwest Passage in the Arctic region. The significance of indigenous representation in managing the Northwest Passage is emphasized. The challenges faced by small indigenous groups of the Canadian Arctic are addressed, as well as possible solutions through series of mutually beneficial economic and political proposals. Inuit involvement in the management of marine ecosystem goes beyond Canada’s borders. The Arctic Council has demonstrated that permanent participants from Northern Indigenous communities can significantly influence government, especially on Arctic issues. The days when the Arctic was on the outskirts of global political affairs are gone, as are the days of Canada’s previous passive stance towards its assertions of historically internal waters within the Northwest Passage. Advancing the interests of Indigenous peoples of the North is a well-established Canadian position. The utilization of the Arctic territory by these peoples serves as the backbone of Canada’s Arctic State Policy, consistently articulated by the Government of Canada.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0380.007
Scholarly communication0.0070.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.052
GPT teacher head0.288
Teacher spread0.235 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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