Bibliographic record
Abstract
Most Canadians do not understand the parameters of Aboriginal contributions to the country's economy.As a result it is easy to cling to the stereotypes of poverty and dysfunction that affect a portion of our population.It is easy to remain ignorant of the wonderful efforts that many are making and how they are succeeding in the business world.CANDO recognizes the contributions within our own communities through their awards but often the impacts that the winners have go beyond their own communities.Eileen Paul, Membertou Nation, is honored for her work in supporting the growth of small business in her community.She is a manager of a business centre that lends a helping hand to those with an idea but who lack the skills necessary to succeed.She has paid attention to women and has special programming designed for them.The community of Membertou is also recognized.The history of struggle and poverty that was overcome through the vision of its leadership is inspirational.Membertou is building a nation with its focus on self-sufficiency, control of the land, investment in infrastructure and a way to reach out to partners by demonstrating their healthy community.Leadership at its finest.Running a business is a daunting prospect and yet Abenaki Associates has survived and thrived for more than 30 years.The information technology and management world is highly competitive but Abenaki Associates has developed relationships that have 1 Lessons from Experiencestrengthened their business and made many friends across the country.Enjoy these stories of success in Canada's Aboriginal communities and share them with a friend.
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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 | 0.003 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.271 | 0.113 |
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".