Bridging the Two Worlds: Worldwide Reflections on the 2024 Hong Kong SAR/PolyU Conference
Bibliographic record
Abstract
and the Society for Acupuncture Research (SAR) collaborated to organize an international research conference titled "Bridging the Two Worlds: Engaging Traditional Chinese Medicine in Modern Health Care."The three-day event at the PolyU attracted over 300 participants from 19 countries and regions.The conference's primary goal was to establish a strong connection between Eastern and Western medicine, advancing scientific understanding and evidence-based applications of acupuncture and Traditional Chinese Medicine (TCM).It served as a forum for researchers from different health care professions and disciplines to exchange ideas, explore new research hypotheses, and develop strategies for acupuncture and TCM.Below we present a variety of attendee perspectives, including SAR members and board members, as well as SAR's global ambassadors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.019 | 0.022 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".