Improving access to phosphorus- and sodium-restricted foods for people living with chronic kidney disease in remote First Nations
Bibliographic record
Abstract
CONTEXT: Food insecurity in northern, remote Canadian communities has become increasingly recognised as a significant issue in rural health research and policy. Over the past decade, numerous government and academic reports have emerged, documenting the severity of this issue for the health people living in the Canadian north. People living in northern and remote Canadian communities experience significant challenges related to the cost, quality, and variety of market (store-bought) foods. These issues may be of particular concern for those living with chronic diseases that require therapeutic diets, such as chronic kidney disease (CKD). ISSUES: There is little to no research that documents the impact of food insecurity on disease management and quality of life for those living with CKD and end-stage renal disease (ESRD). There is also limited literature on food access for people living with ESRD in northern and remote communities. People living with food insecurity and CKD in remote communities might experience significant challenges in accessing the foods necessary for adhering to dietary guidelines. LESSONS LEARNED: This commentary examines northern food insecurity and draws attention to dietary challenges for residents of remote communities who are living on restricted or therapeutic diets due to chronic disease. In particular we point to the needs of those living with late-stage CKD and ESRD. We call attention to the need for clinicians to understand the capacity of patients to adhere to therapeutic dietary guidelines in remote communities.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".