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Record W1790853402

The State and the Northern Social Economy: Research Prospects

2009· article· en· W1790853402 on OpenAlexaffabout
Frances Abele

Bibliographic record

VenueNorthern review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsIndigenousState (computer science)Government (linguistics)EconomySocial economyPolitical sciencePolitical economySociologyEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This article describes an initial approach to understanding the northern social economy in light of historical changes in the role of the state and in the overall northern economy. Focus on the social economy promises an analysis of northern development that avoids sterile dualisms (such as traditional contrasted with modern) that have haunted the discussion of the northern development policy for many years. It might also provide a basis for realistic northern development planning that is respectful of Indigenous communities' way of life. This article offers a very early explanation, in three linked sections, of the elements of what I hope will be a new and more complete analysis of northern development in Canada. It is a discussion of research prospects and very early findings. These include a discussion of the importance of the enduring and resilient mixed economy of predominantly Indigenous communities, and the historical changes in the way federal and other government policies take this economy into account.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0020.006
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.063
GPT teacher head0.398
Teacher spread0.335 · 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
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

Citations28
Published2009
Admission routes2
Has abstractyes

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