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Record W2011660233 · doi:10.1260/0263-0923.30.3.197

Examination of Vibration Characteristics, and Reported Musculoskeletal Discomfort for Workers Exposed to Vibration via the Feet

2011· article· en· W2011660233 on OpenAlexafffund
Mallorie Leduc, Tammy Eger, Alison Godwin, James P. Dickey, Ron House

Bibliographic record

VenueJournal of low frequency noise, vibration and active control · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsSt. Michael's HospitalWestern UniversityUniversity of TorontoLaurentian University
FundersWorkplace Safety and Insurance Board
KeywordsVibrationWhole body vibrationAccelerometerFoot (prosody)MedicinePhysical medicine and rehabilitationPhysical therapyAcousticsComputer sciencePhysics

Abstract

fetched live from OpenAlex

The frequency and amplitude characteristics of vibration experienced at the feet under typical mining equipment operation were documented in this study. Foot-transmitted vibration (FTV) was measured using a tri-axial accelerometer mounted at the location where the worker stood. A musculoskeletal disorder questionnaire, work history and demographic information were also collected. Vibration from locomotives (primary source exposure) had a dominant frequency below 6.3 Hz; whereas, drilling and raise platforms (secondary source exposures) were predominantly in the 31.5 to 40 Hz range. All workers reported lower limb discomfort and two had been diagnosed with vibration induced white feet. All raise platforms exposed the workers to vibration levels that placed them above the ISO 2631–1 health guidance caution zone for an 8-hour exposure. Further investigation using both ISO 2631–1 and ISO 5341–1 standards is needed to determine long-term health effects to the whole-body and feet of workers exposed to FTV.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.608

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 communication0.0000.001
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 head0.022
GPT teacher head0.287
Teacher spread0.264 · 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

Citations17
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueJournal of low frequency noise, vibration and active controlSame topicEffects of Vibration on HealthFrench-language works237,207