Community Conditions as Factors of Health, Economic Outlook, and Mobility: Survey Data and Aboriginal People in Manitoba
Bibliographic record
Abstract
On January 27, 2009, Canada’s Minister of Finance, Jim Flaherty, stood up in the House of Commons to give his budget speech to the nation. Included was a commitment that, over the following two years, the federal government would “make major, new investments in Aboriginal communities, to build and renovate schools and health services facilities, to improve wastewater treatment, and to provide safe drinking water.” The response by the then National Chief of the Assembly of First Nations, Phil Fontaine, was quick yet positive: “Today’s federal budget provides a fair and helpful response in terms of First Nations infrastructure because we need to build houses and schools.” However, he qualified this by raising concerns about poverty and the future of young Aboriginal people. This paper focuses on many of these community conditions and how they connect to the well-being of Aboriginal people in Manitoba in terms of personal health, family finances, and economic outlook. Furthermore, it provides an assessment of how specific community conditions might be linked to mobility among Aboriginal people.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".