Aboriginal Alcohol Addiction in Ontario Canada: A Look at the History and Current Healing Methods That Are Working In Breaking the Cycle of Abuse
Bibliographic record
Abstract
According to Census Canada, in 2006 there were over one million individuals reporting Aboriginal identity in Canada. Of that estimate, 698,025 reported being of First Nations ancestry, 389,785 Metis, and 50,485 Inuit. In Ontario there are over 242, 490 people who identify as Aboriginal (Statistics Canada, 2006). This paper will attempt to address and explain some of the traditional Aboriginal healing methods used in the treatment of alcohol abuse for Aboriginal peoples in Ontario. It is important to recognize that the information provided in this paper is only a small portion of the many and extensive Aboriginal teachings that exist. Teachings vary from First Nations to First Nations, in the various Metis and Inuit communities and from one geographic region to another. As well, Aboriginal people do not have a uniform approach to addiction program delivery; nor do they share one way of thinking.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".