Economic development in selected aboriginal communities, lessons in strength, resilience and celebration
Bibliographic record
Abstract
The research objectives addressed are: (1) to ascertain the place held by Aboriginal wisdom in economic development theory; (2) to document the blend of approaches and economic development strategies currently employed in selected Aboriginal communities; and (3) to identify the role of Aboriginal wisdom in selected Aboriginal communities that are striving for economic development in tune with individual community rhythms. In examining the cost of development, the literature suggests that a variety of approaches are taken by researchers in diverse disciplines. Examining the traditional philosophies held by Aboriginal peoples suggest approaches that have much to offer this discourse. Scholars from within Aboriginal society are also questioning the process and quality of development taking place and offering alternative approaches. Modern economy influences have diluted the universality of the role of tradition, many Aboriginal communities are attempting to blend traditional approaches with modern economic strategies. Four communities shared experiences for this research. A mode1 entitled Elements of Development, created by and for Aboriginal people, was used as a framework for the results of the research. Several conclusions can be drawn including the demand that re-examining sustainable development is imperative since an Aboriginal perspective cannot be grafted onto the current discourse, that on the whole lacks an appreciation for the role of spirituality. This micro-examination of communities does not lend itself to the development of universal models that may be rubber stamped onto other Aboriginal communities. Sensitivity to the process of development and the unique influences and common attitudes are more helpful in fostering the growth in Canada's Aboriginal economy. That said, some of the more interesting features of this research include: (1) a sophisticated screening of business opportunities that wholistically includes those aspects of community that have been given priority by the members; (2) a process for building a financial strategy that involves extensive community input with sensitivity to tradition; (3) organizations working together in an urban setting that have promise for meaningful Aboriginal contributions and finally, (4) striving for a beneficial partnership with a corporate conglomerate.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".