Social, political, commercial, and corporate determinants of rural health equity in Canada: an integrated framework
Bibliographic record
Abstract
People in rural and remote areas often experience greater vulnerability and higher health-related risks as a result of complex issues that include limited access to affordable health services and programs. During disruptive events, rural populations face unique barriers and challenges due to their remoteness and limited access to resources, including digital technologies. While social determinants of health have been highlighted as a tool to understand how health is impacted by various social factors, it is crucial to create a holistic framework to fully understand rural health equity. In this commentary, we propose an integrated framework that connects the social determinants of health (SDOH), the political determinants of health (PDOH), the commercial determinants of health (ComDOH), and the corporate determinants of health (CorpDOH) to address health inequity in rural and remote communities in Canada. The goal of this commentary is to situate these four determinants of health as key to inform policy-makers and practitioners for future development of rural health equity policies and programs in Canada.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| 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".