Turning signals into meaning –‘Shared decision making’ meets communication theory
Bibliographic record
Abstract
Shared decision making (SDM) is being increasingly challenged for promoting an innovative role model while adhering to an archaic approach to patient-clinician communication, both in clinical practice and the research field. Too often, SDM has been studied at the individual level, which ignores the interpersonal system between patients and physicians. We aimed to encourage debate by reflecting on the essentials of SDM in terms of epistemology. We operationalized the SDM core concept of information exchange in terms of social systems theory. An epistemological analysis of the term information refers to its inherent process character. Exchange of information thereby becomes synonymous with social sense construction, indicating that, rather than just being a vehicle, the act of communication itself is the information. We plead for the adoption of existing dyadic analytical methods such as those offered by the interpersonal paradigm. Implications of an updated concept of information for the use of SDM-evaluation methods, for SDM-goal setting, and for clinical practice of SDM are described.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.032 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.051 |
| Scholarly communication | 0.017 | 0.023 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".