Ergonomics in China: Perspectives from the 1998 People to People International Ergonomics Delegation, October 17–31
Bibliographic record
Abstract
In October 1998 nine ergonomists from around the world embarked on a two-week tour of the People's Republic of China. This delegation represented only the second formal delegation to visit this vast and largely unknown nation. The group travelled as part of a larger delegation of Citizen Ambassadors with the People to People International organization from the U.S. The Ergonomics delegation saw first hand how ergonomics is being studied and applied in China. Apart from visiting with several universities and government organizations, the group participated in the China Ergonomics Society quadrennial conference and visited several manufacturing factories. Ergonomics is not wide spread in China but the focus appears to be on cognitive ergonomics and primarily looking at mental workload capacity, macroergonomics in the global economy, and Chinese anthropometrics. As China participates more on the global stage the influence of other nations is certainly impacting the direction that ergonomics is taking in China.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".