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Work-related musculoskeletal disorders

2000· review· en· W2318150592 on OpenAlexaff
Annalee Yassi

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2000
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of ManitobaWinnipeg Regional Health Authority
Fundersnot available
KeywordsMedicinePsychosocialTerminologyWork-related musculoskeletal disordersCumulative trauma disorderWork (physics)Physical therapyEtiologyVariety (cybernetics)Human factors and ergonomicsPhysical medicine and rehabilitationPoison controlPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Work-related musculoskeletal disorders continue to be extremely common and to present an important challenge to clinicians. Debate regarding terminology and case definitions has discouraged practitioners from aggressively approaching the diagnosis and management of these conditions. Considerable progress has, however, been made recently. Previously more commonly referred to as repetitive strain injuries or cumulative trauma disorders, the new term work-related musculoskeletal disorders has fewer etiological implications. These disorders, affecting the back, lower limbs, and especially upper limbs and neck, can be extremely costly if not addressed appropriately. Generally resulting from a combination of physical factors (including repetition, force, and awkward postures) as well as other workplace environmental or organizational factors (including excessive work rates or durations, inadequate breaks, and a variety of psychosocial workplace characteristics), work-related musculoskeletal disorders can often be remediated when these factors are appropriately assessed and addressed. Clinicians must play a positive role in ensuring that this approach prevails.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.037
GPT teacher head0.385
Teacher spread0.348 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations181
Published2000
Admission routes1
Has abstractyes

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