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Record W4408059478 · doi:10.1080/00140139.2025.2466026

Coupling force-adjusted hand-arm vibration exposure and its long-term associated hazard assessment concerning musculoskeletal disorders – methodological comparisons

2025· article· en· W4408059478 on OpenAlexaff
Nastaran Raffler, Uwe Kaulbars, Yi Sun

Bibliographic record

VenueErgonomics · 2025
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsWorkplace Health, Safety and Compensation Commission
FundersDeutsche Gesetzliche Unfallversicherung
KeywordsTerm (time)MedicineHazardForensic engineeringPhysical therapyPhysical medicine and rehabilitationEngineeringPhysicsChemistry

Abstract

fetched live from OpenAlex

When holding or carrying vibrating machines, the coupling forces play a major role in transmitting the vibrations to the hand-arm system. In an epidemiologic study, two recommended methods from ISO/TS 15230-2 are used to investigate the relationship between coupling force-adjusted vibration exposures and their related risk of musculoskeletal disorders of the upper limb. Therefore, coupling forces have been professionally estimated for 408 machines used by 683 male participants during their entire working life and coupling force-adjusted long-term vibration doses are calculated. Despite different approaches of the two methods, overall lower dose values are correlated to the risk of musculoskeletal disorders if the coupling force was adjusted. Considering the 10% increased risk of musculoskeletal disorders, the original cumulative vibration doses of 19571 m2/s4 fell to 15995 m2/s4 and 18119 m2/s4 according to two different coupling force-adjusted doses. These results show the necessity of consideration of coupling forces, especially for on-body measurements.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.068
GPT teacher head0.392
Teacher spread0.324 · 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 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
Published2025
Admission routes1
Has abstractyes

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