Challenges facing Indigenous transplant patients living in Canada: exploring equity and utility in organ transplantation decision-making
Bibliographic record
Abstract
Indigenous peoples in Canada and in the Circumpolar North face a higher disease burden leading to end-stage organ failure and face geographic and systemic barriers to accessing health-care services, including those for end-stage organ failure and organ donation and transplantation (ODT). To address these issues, I present a think tank model used in Saskatchewan, Canada, which focused on ODT and recommended research and policy changes that address inequitable Indigenous access to ODT, most specifically in northern and remote regions. Over the past three years, think tank members, comprised of Indigenous cultural leaders, elders, and persons with lived experience in ODT, and complemented by medical and advocacy exports, have highlighted equity and utility issues as key concerns, and discussed ways in which these issues can be addressed. Recommendations include culturally-safe methods for documenting and tracking Indigenous identity, development of training to address culturally specific needs, and additional funding to support Indigenous transplant donors and recipients.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.006 |
| 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".