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Record W1997090394 · doi:10.1260/026309208786926831

The effects of Posture on seat-to-head Whole-Body Vibration Transmission

2008· article· en· W1997090394 on OpenAlexaff
Robert J. Jack, Tammy Eger

Bibliographic record

VenueJournal of low frequency noise, vibration and active control · 2008
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsLaurentian UniversityUniversity of Guelph
Fundersnot available
KeywordsWhole body vibrationAccelerometerVibrationTrunkHead (geology)Structural engineeringSittingAccelerationTransmissibility (structural dynamics)AcousticsOrthodonticsMedicineEngineeringPhysicsVibration isolationGeology

Abstract

fetched live from OpenAlex

Five male subjects were exposed to root-mean-square whole-body vibration (WBV) acceleration levels ranging from 0.011m/s 2 to 0.615m/s 2 while seated on a vibration simulator. During the WBV exposure, subjects adopted 5 unsupported trunk flexion/extension positions (15, 10, 0, −10 and −15, ±2.5 degrees from vertical), and 4 hip flexion positions (−10, 0, 10, and 20 degrees from the horizontal). WBV measurements were taken with a tri-axial accelerometer at the buttock/seat interface and the head. Hydrostatic weighing was also conducted to determine the subject's adipose content. Adipose content of the individual had no significant relationship with the seat-to-head transmission of vibration. Vibration exposures at 4Hz had significantly more transmission than vibration exposures at 6.3Hz. Vibration exposures in the Z-axis (vertical) had significantly more vibration transmission than vibration exposures in the X- (front-to-back) and Y-axes (left-to-right). A significant interaction was also found between trunk position, frequency and axis of exposure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.276
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2008
Admission routes1
Has abstractyes

Explore more

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