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Record W1516313956

Physical Performance Characteristics of Military Aircraft Maintenance Personnel Resistant to Work-Related Musculoskeletal Disorders of the Hand and Wrist

2006· article· en· W1516313956 on OpenAlexaboutno aff
Deanna S. Pekarek

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2006
Typearticle
Languageen
FieldHealth Professions
TopicQuality and Safety in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceMilitary serviceWork (physics)Active dutyAbsenteeismOccupational safety and healthMilitary personnelEnvironmental healthMedicineEngineeringGeographyEconomic growthManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

Work related musculoskeletal disorders (WMSD), the largest portion of reported and compensated work-related diseases, represent at least one-third of all reported occupational diseases in the United States, Nordic countries, and Japan. WMSDs are responsible for more work absenteeism and disability than any other disease category in the United States, Canada, Sweden, Finland, and England (Punnett & Wegman, 2004). Service industries accounted for 71% of all WMSDs with lost workdays in 2003 for the United States (US). Trade, transportation, and utilities; education and health services; and repair and maintenance are common service industries (Bureau of Labor Statistics [BLS], 2005). Within the United States Air Force (USAF), electrical and mechanical repair technicians comprised the largest occupation category in the USAF or 21% of the enlisted workforce ("Air Force enlisted demographics", 2006 June). Aircraft maintenance was the duty area resulting in the largest number of lost workdays for the USAF from fiscal years 1993 through 2002 (Copley, Burnham, & Shim, 2003).

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)0.000
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 score0.186
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.017
GPT teacher head0.307
Teacher spread0.291 · 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
Published2006
Admission routes1
Has abstractyes

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