Clinical Ethics Consultation in Chronic Illness: Challenging Epistemic Injustice Through Epistemic Modesty
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
Leading paradigms of clinical ethics consultation closely follow a biomedical model of care. In this paper, we present a theoretical reflection on the underlying biomedical model of disease, how it shaped clinical practices and patterns of ethical deliberation within these practices, and the repercussions it has on clinical ethics consultations for patients with chronic illness. We contend that this model, despite its important contribution to capturing the ethical issues of day-to-day clinical ethics deliberation, might not be sufficient for patients presenting with chronic illnesses and navigating as "lay experts" of their medical condition(s) through the health care system. Not fully considering the sources of personal knowledge and expertise may lead to epistemic injustice within an ethical deliberation logic narrowly relying on a biomedical model of disease. In caring "for" and collaboratively "with" this patient population, we answer the threat of epistemic injustice with epistemic modesty and humility. We will propose ideas about how clinical ethics could contribute to an expansion of the biomedical model of care, so that important aspects of chronic illness experience would flow into clinical-ethical decision-making.
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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 | 0.025 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.025 |
| Insufficient payload (model declined to judge) | 0.001 | 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