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Health Care Utilization and Workplace Interventions for Neck and Upper Limb Problems Among Newspaper Workers

2001· article· en· W2051763000 on OpenAlexaff
Michael B. Swift, Donald C. Cole, Dorcas Beaton, Michael Manno

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitute for Work & Health
Fundersnot available
KeywordsPsychological interventionMedicinePhysical therapyHealth careNewspaperMEDLINEFamily medicineNursing

Abstract

fetched live from OpenAlex

Data on the use of various therapeutic interventions among working populations at risk for musculoskeletal disorders are rare, despite the need for such information in assessing adherence to best practices. Using the results of a cross-sectional survey of newspaper workers who reported neck and upper limb pain or discomfort (n = 309), we describe the prevalence of a wide range of clinical and workplace interventions. Information/education, exercises, and physical treatments were the most common interventions, and work changes were less prevalent. Those with more frequent, longer-duration, and/or more severe symptoms more commonly reported visits to physiotherapists and health practitioners at work and use of physical treatments, medications, and devices. The multiplicity of interventions used pose evaluation challenges for occupational health practitioners and researchers.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.034
GPT teacher head0.335
Teacher spread0.301 · 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

Citations16
Published2001
Admission routes1
Has abstractyes

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Same venueJournal of Occupational and Environmental MedicineSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207