Equity-Oriented Healthcare: What It Is and Why We Need It in Oncology
Bibliographic record
Abstract
Alarming differences exist in cancer outcomes for people most impacted by persistent and widening health and social inequities. People who are socially disadvantaged often have higher cancer-related mortality and are diagnosed with advanced cancers more often than other people. Such outcomes are linked to the compounding effects of stigma, discrimination, and other barriers, which create persistent inequities in access to care at all points in the cancer trajectory, preventing timely diagnosis and treatment, and further widening the health equity gap. In this commentary, we discuss how growing evidence suggests that people who are considered marginalized are not well-served by the cancer care sector and how the design and structure of services can often impose profound barriers to populations considered socially disadvantaged. We highlight equity-oriented healthcare as one strategy that can begin to address inequities in health outcomes and access to care by taking action to transform organizational cultures and approaches to the design and delivery of cancer services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 teacher head, 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".