The Unexpected Outcomes of Acupuncture: Case Reports in Support of Refocusing Research Designs
Bibliographic record
Abstract
Two distinct positive outcomes are possible with Classical Acupuncture; resolution of the "main complaint" for which the patient is seeking treatment and unexpected resolution of health concerns for which the patient is not seeking treatment. Two clinical cases are presented to illustrate this phenomenon clearly. In both cases, the unexpected outcomes follow logically from the central therapeutic imperative of Oriental medicine; treatment of both the patient's root and branch. Research designs focused on single health conditions do little to reflect this central clinical reality. To highlight this problem, the two cases presented here are repositioned within the framework of research designs focused on single health conditions. It becomes clear that any eventual "gold standard" of acupuncture-appropriate research designs would reflect the full health care service provided by Classical Acupuncture. This, in turn, would ensure that health care policies based on research results would be appropriate to the realities of clinical acupuncture.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".