Indigenous Business Support Services: A Case Study of the Quebec Entrepreneurial Ecosystem in Canada
Bibliographic record
Abstract
Support services - also known as accompaniment practices and advisory services - are essential for the development of small businesses. In terms of support services specific to Indigenous businesses, the literature is rather silent. Yet, one can expect that the recent and growing market-related entrepreneurial trend in Indigenous communities will generate increasing accompaniment needs in those contexts. The objective of this research is to better understand the entrepreneurial ecosystem and its current synergy, as well as identifying the challenges of Indigenous entrepreneurship. To do so we rely on a qualitative methodological approach, focusing on the Indigenous entrepreneurial ecosystem in Quebec, Canada. Overall, our research highlights the need to adapt support services to Indigenous-related entrepreneurial issues. This research paves the way for a broader discussion related to how local governments, economic development organizations, funding agencies, and business support services organizations can work together for a comprehensive economic development strategy within Indigenous contexts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.032 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".