Membertou First Nation indigenous people succeeding as entrepreneurs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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 it