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Record W3170555908 · doi:10.15402/esj.v7i1.70010

Ethical Indigenous Economies

2021· article· en· W3170555908 on OpenAlexaffvenue
Dara Kelly, Christine Woods

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsSimon Fraser University
FundersAustralian Government
KeywordsIndigenousReciprocity (cultural anthropology)NormativeTraditional knowledgeSociologyPolitical scienceSocial scienceEcologyLaw

Abstract

fetched live from OpenAlex

In this article, the authors argue that trans-systemic knowledge system analysis of Indigenous-to-Indigenous economics enables generative thinking toward Indigenous futures of economic freedom. The authors apply a trans-systemic lens to critically analyze persistent development philosophy that acts as a barrier to the advancement of Indigenous economic development thinking. By exploring ways in which colonial discourse entraps Indigenous nations within circular logic in service of a normative centre the need for new economic logic is apparent. Shifting to trans-systemic knowledge systems analysis to include diverse insights from Māori and other Indigenous economic philosophy, the authors show that it is not profit and financial growth that matters in and of itself. Rather, according to Indigenous definitions of wealth, economic freedom and development are constituted by value creation that aligns with Indigenous worldviews and principles. Indigenous economic knowledge centred on relationship, reciprocity and interconnectedness fosters Indigenous economic freedom.

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)0.007
metaresearch head score (Gemma)0.010
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 score0.010
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.024
Scholarly communication0.0060.005
Open science0.0010.007
Research integrity0.0040.006
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 head0.116
GPT teacher head0.352
Teacher spread0.236 · 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

Citations5
Published2021
Admission routes2
Has abstractyes

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