Contextual impact on indigenous entrepreneurs around the world: geographic location, socio-cultural context and economic structure
Bibliographic record
Abstract
The number of Aboriginal people in the world is greater than that of the USA and almost equal to that of the EU.Yet politically and economically, they are among the weakest.Entrepreneurship is viewed as a means of empowerment and wealth creation for Indigenous individuals and communities.This paper explores the impact that geographic embeddedness, indigenous cultural factors, and mainstream economic structures have to help or hinder starting and operating an Aboriginal business.A conceptual framework of these contextual factors was constructed as an analytical tool for a qualitative deductive examination of these dynamics in cases, studies, and reports of over 50 remote, rural and urban instances of Indigenous entrepreneurship in 12 countries.Findings strongly point to the interconnectedness of these contextual factors, which provide opportunities for greater leveraging of enterprise creation and development.A Western-Eurocentric perspective and focus on the dominant culture's business model cause the underutilisation of Aboriginal ways.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".