Doctor-patient Narrative Re-discovered from Overseas Traditional Chinese Medicine Practices
Bibliographic record
Abstract
Abstract The doctor-patient narrative has been revisited and appreciated in both the West and the East due to the negative impact of biochemical medicine in the past two centuries on healthcare. Biochemical medicine system simply marginalized the roles of doctors and patients. More research and practice of “doctor’s benevolence” and “humanistic medicine” have called for the return of the doctor-patient narrative. This paper draws on interviews with several non-Chinese overseas traditional Chinese medicine (TCM) practitioners, whose clients are also non-Chinese. We adopted discourse analysis to explore our data. We found that they actively engaged in doctor-patient narrative with localized interpretation of TCM. We believe such a return to basic doctor-patient narrative is caused by fundamental needs for doctor-patient narrative coinciding with loose control of TCM practices in the studied countries. This discovery may inspire further study on re-establishing doctor-patient narratives in healthcare institutions by re-positioning biochemical medicine.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".