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Record W2199581316 · doi:10.5539/jfr.v5n1p58

The Ergonomic Design of Bent-Handled Wok for Female Cooks’ Wok Flipping Task

2015· article· en· W2199581316 on OpenAlexvenueno aff
Swei-Pi Wu, Chien-Chung Jen, Chien-Hsin Yang, Te-Hong Chien, Chia-Hui Lin

Bibliographic record

VenueJournal of Food Research · 2015
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsBent molecular geometryTask (project management)SimulationMathematicsComputer scienceMaterials scienceEngineeringComposite material

Abstract

fetched live from OpenAlex

Conventional straight-handled woks and the ergonomic bent-handled woks under different wok sizes were evaluated using the psychophysical approach. Twelve female subjects were tested using 15 different woks in a random order. The independent variables were the wok handle angle (with two angles of 25˚, 10˚ for traditional wok, and three angles of -5˚, -20˚ and -35˚ for bent-handled wok) and the wok size (with three diameters of 33 cm, 36 cm and 39 cm). The criterion measures included maximum acceptable weight of flipping (MAWF), wrist angle and subjective rating. The results showed both the handle angle and wok size significantly affected the maximum acceptable weight of flipping, wrist angle and subjective rating. The bent-handled wok is superior to the straight-handled wok, and the size-weight illusion effect is significant. In general, a small wok (33 cm diameter) with an ergonomic bent handle (-35˚) is ideal for females to decrease the risk of upper extremity musculoskeletal disorders when performing the flipping task.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.274
GPT teacher head0.443
Teacher spread0.169 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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