MétaCan
Menu
Back to cohort
Record W1994406776 · doi:10.1177/154193120004403301

Ergonomics in China: Perspectives from the 1998 People to People International Ergonomics Delegation, October 17–31

2000· article· en· W1994406776 on OpenAlexaff
Ken Page, Denny Ankrum, Lynda Enos, Margot Fraser, Shamir Jamal, Christine Demen Meier, Ian Noy

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2000
Typearticle
Languageen
FieldEngineering
TopicErgonomics and Human Factors
Canadian institutionsTransport CanadaNortel (Canada)
Fundersnot available
KeywordsDelegationChinaHuman factors and ergonomicsWorkloadGovernment (linguistics)People's RepublicEngineeringPoison controlPublic relationsPolitical scienceBusinessManagementMedicineEnvironmental healthLawEconomics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.200
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Human Factors and Ergonomics Society Annual MeetingSame topicErgonomics and Human FactorsFrench-language works237,207