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Record W2992640500

Ergonomic modification and evaluation of chain saw handle in wood cutting

2011· article· en· W2992640500 on OpenAlexvenueno aff
Gaurav Raghav, Mohd Farooq, Abid Ali Khan, Mohammad Muzammil

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsnot available
FundersAll India Council for Technical Education
KeywordsVibrationStructural engineeringEngineeringTorsion (gastropod)AcousticsComputer sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

Vibration-induced stresses in wood cutting were reduced using a chain saw, through handle design, and the study was carried out in two phases such as pilot and main experiments. The pilot experiments were performed prior to main investigations, to record the postural angles of wrist, forearm and index finger and the vibration levels. Based on the findings of pilot experiment, three different angled handles were used for the investigations, with 30°, 60°, and 90° inclinations in the downward direction from the horizontal axis. The results show that the deviation in the torsion angle was lowest for the 30° handle and highest for the original handle, during chain saw operation. The angular deviation for radial/ulnar of the 60° handle is found to be greater than that of both the 30° and 90° handles, but was less than that of the original handle.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.091
GPT teacher head0.324
Teacher spread0.233 · 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 designBench or experimental
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

Citations3
Published2011
Admission routes1
Has abstractyes

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