Cultural continuity and Inuit health in Arctic Canada
Bibliographic record
Abstract
BACKGROUND: Previous research association increased levels of cultural continuity and decreased rates of youth suicide in First Nations communities. We investigate the relationship between cultural continuity and self-rated health looking specifically at Inuit living in the Canadian Arctic. METHODS: The Arctic Supplements of the Aboriginal Peoples Survey from years 2001 and 2006 were appended to explore the relationship between various measures of cultural continuity and self-rated health. These measures include access to government services in an Aboriginal language, Inuit cultural variables, community involvement and governance. Literature related to Inuit social determinants of health and health-related behaviours were used to build the models. RESULTS: All measures of cultural continuity were shown to have a positive association with self-rated health for Inuit participants. Background and other control variables influenced the strength of the association but not the direction of the association. Access to services in an Aboriginal language, harvesting activities and government satisfaction were all significantly related to the odds of better health outcomes. Finally, the study contributes a baseline from a known data horizon against which future studies can assess changes and understand future impacts of changes. CONCLUSION: The Canadian government and other agencies should address health inequalities between Inuit and non-Inuit people through programmes designed to foster cultural continuity at a community level. Providing access to services in an Aboriginal language is a superficial way of promoting cultural alignment of these services; however, more inclusion of Inuit traditional knowledge is needed to have a positive influence on health.
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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 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".