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Record W4392823058 · doi:10.29173/jaed368

A Distributive Aboriginal Political Culture is Alive and Well in Northern Saskatchewan

2016· article· en· W4392823058 on OpenAlexaffabout
Bonita Beatty

Bibliographic record

VenueJournal of Aboriginal Economic Development · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIndigenousHomelandPoliticsEthnologyPolitical scienceEconomic growthSociologyGeographyEcologyLaw

Abstract

fetched live from OpenAlex

Many suggest that northern Aboriginal political culture has largely been lost due to political and economic colonization. This paper suggests otherwise. Based on research findings from a northern political engagement study, it argues that northern Aboriginal political culture remains strong despite the pressures of modern life. At a recent meeting, Indigenous Alumni from the Masters in Northern Governance and Development (MNGD) Program went a step further suggesting that while northern Aboriginal culture was resilient, it needed support in many areas including language retention, training, youth education and protection of local knowledge. It was suggested that a formalized network of Northern Aboriginal Scholars could provide significant support. Aboriginal Peoples in northern Saskatchewan developed a distinct 'way of life' in that region blending historical cultural values and a mixed-wage economy. Over 86% of the 37,000 people living in the 45 northern Saskatchewan communities (municipalities, reserves) are Woodland Cree, Dene and Métis peoples. The north is their traditional homeland. Findings from a three-year research study (2010-2013) on northern Aboriginal political engagement illustrated a high desire (96.3%) by Indigenous people to protect their traditional northern ways of life (hunting, trapping, fishing, gathering) and the distributive values associated with it. This and other findings suggest that Aboriginal political culture in northern Saskatchewan is changing but is still alive and well.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.338
Teacher spread0.328 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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 routes2
Has abstractyes

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