De-Centering Whiteness in Theorizing Care: Culturally-Safe Care and Affective Technologies of Medical Racism
Bibliographic record
Abstract
This paper examines the epistemic and ethical tensions that emerge in global movements to decolonize care, particularly through cultural safety and competency frameworks in healthcare. While these models aim to ensure dignified care for Black, Indigenous and racialized patients, they often remain limited by epistemic hierarchies rooted in whiteness. Drawing from feminist care ethics, and decolonial approaches to moral epistemology, I argue for an approach to comparative care that centers embodied presence, epistemic humility, and grounded relationality. Rather than treating difference in care as a static moral template, I propose a care-ethical notion of hearing difference, in caring, as a dynamic—shaped by situated ethical selves navigating intersecting and anti-colonial lineages of care. The paper critiques the tendency to abstract care into masterly knowledge and calls for a deeper commitment to ‘thinking-with’ others across difference. Ultimately, caring across divides demands we move beyond inclusion toward reciprocal, consent-based practices that honor the complex, evolving needs of those receiving care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".