MétaCan
Menu
Back to cohort
Record W4388284336 · doi:10.47461/isoes.2023.weames

Exposure to Musculoskeletal Workplace Factors for Railroad Locomotive Shop Workers

2023· article· en· W4388284336 on OpenAlexaff
Greg G. Weames, Steve Fleming, John Vanderpool, George Page

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsWorkplace safetyTransport engineeringAutomotive engineeringEngineeringBusinessAeronauticsOccupational safety and healthMedicine

Abstract

fetched live from OpenAlex

The physical demands of the North American railroad locomotive shop worker positions have been described, historically, in subjective terms.These descriptions have been based on subject matter experts and railroad employees.Research has demonstrated that subjective accounting of the intensity, frequency, and duration of physical exposures of the work, to be notably less accurate than the actual physical exposures.Additionally, it is important to account for the whole shift of exposure to physical demands.Objectively based data collection and analysis of the locomotive shop worker positions has been conducted through multiple job studies at different railroad shop locations across the country, over several years.Results of this study provide reliable exposure data and suggest that there is generally not an increased relative risk for the development of a variety of musculoskeletal disorders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.025
GPT teacher head0.333
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicErgonomics and Musculoskeletal DisordersFrench-language works237,207