[Discussion on "dry needling" being part of acupuncture].
Bibliographic record
Abstract
We think that all the methods of puncturing into the skin to prevent and treat diseases are belong to acupuncture science. In spite of its basic theory of meridian and acupoint, anatomy and physiology have been important parts of modern acupuncture science. "Dry needling", however, is limited to trigger point theory. As for the positions, acupuncture is applied mainly at acupoints, involving in skin, muscles, tendons, vessels and nerves; while "dry needling" is used mostly at muscles. The needles of acupuncture are in various lengths and diameters and its manipulations are abundant, including the traditional skills and the achievements of modern science and technology research, such as electroacupuncture. It is different from the "dry needling" with the single tool and manipulation. Thus, acupuncture is suitable for a large range of syndromes, but "dry needling" is mainly for fascia muscularis pain and other related disorders. The acupuncturists need to embrace Chinese and western medicine, which is more rigorous than the training for "dry needling" practitioners. Based on the above reasons, we consider "dry needling" as part of acupuncture science, and it is a method during the modern development of traditional acupuncture.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".