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Record W1485259748

Glove use and education in workers with hand-arm vibration syndrome

2011· article· en· W1485259748 on OpenAlexaffvenueabout
Kyle Rowley, Daana Ajami, Diane Gervais, L. Mooney, A. Solheim, Irena Kudla, D. Linn Holness, Sharon Switzer‐McIntyre

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsPersonal protective equipmentDemographicsCompliance (psychology)MedicineOccupational safety and healthOccupational exposureWired glovePhysical therapyMedical emergencyPsychologyCoronavirus disease 2019 (COVID-19)
DOInot available

Abstract

fetched live from OpenAlex

The current education practices related to glove use and the relationship between glove use education and glove use compliance are described. A self-administered questionnaire was developed exploring participant demographics, workplace characteristics, workplace exposures, protective glove characteristics, glove use compliance, provision of glove use education, and glove supply characteristics. Participants included consecutive patients presenting to SMHOEHC in Toronto, Ontario for investigation of HAVS. Eighty-eight percent reported the presence of a workplace joint health and safety committee, 87% reported receiving occupational health and safety training, and 97% reported receiving Workplace Hazardous Materials Information System (WHMIS) training. The barriers workers reported to glove compliance included discomfort and difficulty using the gloves because of restraint and bulkiness.

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)0.000
metaresearch head score (Gemma)0.005
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 score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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

Citations2
Published2011
Admission routes3
Has abstractyes

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