What's trust got to do with it? Revisiting opioid contracts
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
Prescription opioid abuse (POA) is an escalating clinical and public health problem. Physician worries about iatrogenic addiction and whether patients are 'drug seeking', 'abusing' and 'diverting' prescription opioids exist against a backdrop of professional and legal consequences of prescribing that have created a climate of distrust in chronic pain management. One attempt to circumvent these worries is the use of opioid contracts that outline conditions patients must agree to in order to receive opioids. Opioid contracts have received some scholarly attention, with trust and trustworthiness identified as key values and virtues. However, few articles have provided a critical account of trust and trustworthiness in this context, particularly when there exists disagreement about their role in terms of enhancing or detracting from the patient-physician relationship. This paper argues that opioid contracts represent a misleading appeal to patient-physician trust. Assuming the patient is untrustworthy may wrongfully undermine the credibility of the patient's testimony, which may exacerbate certain vulnerabilities of the person in pain. However, misplaced trust in certain patients may render the physician vulnerable to the potential harms of POA. If patients distrust their physician, or feel distrusted by them, this may destabilise the therapeutic relationship and compromise care. A process of epistemic humility may help cultivate mutual patient-physician trust. Epistemic humility is a collaborative effort between physicians and patients that recognises the role of patients' subjective knowledge in enhancing physicians' self-understanding of their theoretical and practice frameworks, values and assumptions about the motivations of certain patients who report chronic pain.
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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 | 0.003 | 0.007 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it