Multicultural Medicine and the Politics of Recognition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Health care services increasingly face patient populations with high levels of ethnic and cultural diversity. Cultures are associated with distinctive ways of life; concepts of personhood; value systems; and visions of the good that affect illness experience, help seeking, and clinical decision-making. Cultural differences may impede access to health care, accurate diagnosis, and effective treatment. The clinical encounter, therefore, must recognize relevant cultural differences, negotiate common ground in terms of problem definition and potential solutions, accommodate differences that are associated with good clinical outcomes, and manage irresolvable differences. Clinical attention to and respect for cultural difference (a) can provide experiences of recognition that increase trust in and commitment to the institutions of the larger society, (b) can help sustain a cultural community through recognition of its distinct language, knowledge, values, and healing practices, and (c) to the extent that it is institutionalized, can contribute to building a pluralistic civil society.
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.
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.022 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it