Membertou First Nation indigenous people succeeding as entrepreneurs
Bibliographic record
Abstract
Purpose This paper seeks to link the extraordinary success of an aboriginal community called Membertou First Nation to the literature of entrepreneurship and small‐ and medium‐sized enterprises. Design/methodology/approach The paper recounts the remarkable case of the people of Membertou First Nation who have been very successful in the area of economic development. It then considers their objective to further promote entrepreneurship within in the community. Findings The literature informs us that fast growing firms contribute disproportionately to job creation, wealth creation, and longer term support systems of local economies. The paper suggests that some of the unique circumstances that would appear to favor efforts to raise rates of new firm formation may ultimately constrain growth. Research limitations/implications The findings are limited by the unique circumstances operating within Canada and may not apply to other situations. Moreover, as Membertou First Nation is an urban‐based reserve it faces a different set of opportunities and constraints than rural‐based communities within Canada. Originality/value At one level, the story of Membertou First Nation is inspirational. But, this paper identifies some of the unique challenges and barriers faced by First Nations people pursuing opportunities as entrepreneurs. Challenges include issues of political stability; the need to respect the value placed upon community, conservation and sustainability by the culture the limited access to traditional sources of capital and other possible barriers. It attempts to foresee some potential barriers and underscore the real complexity of issues that arise when development and entrepreneurship are linked.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".