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Record W4388913710 · doi:10.1108/ijebr-01-2023-0085

Entrepreneurship by indigenous people in Canada and Australia: diverse modes and community implications

2023· article· en· W4388913710 on OpenAlexaffabout
Yanjiao Yang, Xiaohua Lin, Robert B. Anderson

Bibliographic record

VenueInternational Journal of Entrepreneurial Behaviour & Research · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of ReginaToronto Metropolitan University
Fundersnot available
KeywordsIndigenousEntrepreneurshipTypologyConceptualizationOriginalitySociologySociocultural evolutionIdentity (music)Political scienceSocial scienceQualitative researchAnthropologyEcology

Abstract

fetched live from OpenAlex

Purpose Entrepreneurship by Indigenous people in Canada and Australia, while historically connected to the ancestral lands and traditional practices of Indigenous people, has been evolving and expanding in scope and nature. In this article, the authors aim to offer an integrative framework for capturing the contemporary dynamics and outcomes of entrepreneurship by Indigenous people as they pursue venture creation as part of their broader development aspirations. Design/methodology/approach Drawing on literature from place-based views of entrepreneurship and social identity theory, the authors develop a typology to account for four modes of entrepreneurship by Indigenous people along two contextual dimensions – Indigenous territory and Indigenous marker. Findings Indigenous practicing entrepreneurship may choose to conduct business within or outside of traditional lands and demonstrate more or less indigeneity in their business activities as they marshal resources and seek opportunities. The authors identify how these diverse Indigenous businesses contribute to the economic development among Indigenous communities as part of their ongoing struggle to rebuild their “nations” using business. Originality/value This article contributes by differentiating sociocultural vs economic resources in noneconomic contexts to develop a theoretical typology of Indigenous entrepreneurship. By detailing the relations between Indigenous territories and Indigenous lands and between Indigenous identity and Indigenous markers, the authors contribute to a more nuanced and practical conceptualization of Indigenous entrepreneurship.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.097
GPT teacher head0.356
Teacher spread0.259 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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