Rethinking Economic Strategies for First Nations in Canada: Incorporating Traditional Knowledge into Governance Practices
Bibliographic record
Abstract
Can Indigenous businesses operate within a capitalist system while maintaining Indigenous traditional values?If so, what model of business governance would promote this balance?This thesis examines how First Nations peoples in Canada can combine their traditional knowledge with conventional corporate governance to effectively create a governance model of business management.- --------------------In a post-colonial state 1 , can First Nations businesses maintain traditional values and teachings, such as maintaining a balance (only taking what is needed) and reciprocity while engaging in capitalism?If so, what would this model of business look like from a corporate board perspective?The premise of this research is that traditional knowledge can be an important aspect of Indigenous corporate governance.The objective of this work is to explore the concept of an integrated approach to governance and First Nations' traditional teachings to create a new model of governance more suited to First Nations businesses.This model of governance combines two systems of governance to produce a new system that is appropriate to First Nation ventures.This research provides a practical approach for interpreting and applying traditional knowledge and governance to create a responsive form of First Nations corporate governance that can impact strategic development and guide the decision-making processes for boards of directors, which govern First Nations businesses.The development of such a model is not only important to the success of Indigenous businesses in Canada but is essential to reducing poverty and the cycle of dependency on government subsidies.Lastly, the use of traditional teachings as foundations for governance may also enhance economic sustainability and self-determination for First Nations communities.This research contributes to the ongoing decolonization discourse regarding the economic dependency of First Nations on the Canadian government and Indigenous resistance (Alfred, 1995(Alfred, , 2009;;Brown and Strega,
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".