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Record W7006788692

Young Indigenous Entrepreneurs- Supporting Changemakers Through Entrepreneurship and Advocacy of Indigenous Issues

2023· article· en· W7006788692 on OpenAlexaboutno aff

Bibliographic record

VenuePurdue e-Pubs (Purdue University System) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousEntrepreneurshipContext (archaeology)TourismTraditional knowledgeFace (sociological concept)Indigenous rightsEconomic Justice
DOInot available

Abstract

fetched live from OpenAlex

Indigenous youth are reclaiming their language, customs and land. They are at the forefront of Canada’s fastest-growing population, yet continue to face barriers in health, education and justice systems. Indigenous tourism often exploits Indigenous communities. However, self-driven Indigenous tourism is an opportunity for Indigenous communities to strengthen their culture and economy. Many Indigenous youth aspire to start businesses. Their products are often sold not just nationally, but also to international customers. Hence, a program that provides financial literacy courses and personalized business advice can support young Indigenous entrepreneurs. Based on the experience of a young Indigenous entrepreneur who sells beadwork through social media, this case explores best business practices and strategies for success through accounting concepts. In this case, two post-secondary student consultants are tasked with supporting a young Indigenous entrepreneur by developing a business model, in an effort to contribute to Alberta’s Indigenous tourism. With the development of the United Nations Declaration on the Rights of Indigenous People, Indigenous rights have become a prominent global issue and this case is relevant in the context of Indigenous socio-economic development.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.004
Scholarly communication0.0050.003
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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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Same venuePurdue e-Pubs (Purdue University System)Same topicIndigenous Health, Education, and RightsFrench-language works237,207