Young Indigenous Entrepreneurs- Supporting Changemakers Through Entrepreneurship and Advocacy of Indigenous Issues
Bibliographic record
Abstract
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".