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Record W2010511436 · doi:10.1002/hfm.10015

Computers in delivery of ergonomic technology for safety in the workplace: ErgoRisk<sup>©</sup>, an example

2002· article· en· W2010511436 on OpenAlexaff
Shrawan Kumar

Bibliographic record

VenueHuman Factors and Ergonomics in Manufacturing & Service Industries · 2002
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFunnelHierarchyCognitive ergonomicsComputer scienceHuman factors and ergonomicsComputer technologyWork (physics)Workplace safetyHuman–computer interactionEngineeringPoison controlOccupational safety and healthMultimediaMechanical engineering

Abstract

fetched live from OpenAlex

Abstract The computer is one of the essential tools in the delivery of ergonomic technology for achieving optimized safety at work. This article rationalizes the rightful place of computers in the hierarchy of ergonomics. Clearly, science and knowledge have the central place from which the technology flows. Harnessing discrete bits of technology into effective techniques lends us the ability to practice and apply ergonomic technology for safety. One of the most versatile and powerful media for application of these technologies is the computer. In an application sense, the computer acts as a funnel. Complex signals, involved functional relationship, and sophisticated processing using complex physiological, biomechanical, and cognitive models are systematically and accurately executed through the medium of the computer. Examples are presented to illustrate these arguments. © 2002 Wiley Periodicals, Inc.

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)0.001
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 score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.052
GPT teacher head0.270
Teacher spread0.218 · 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
Published2002
Admission routes1
Has abstractyes

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