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Record W2775445936 · doi:10.1093/annweh/wxx093

Gaps in Workplace Education For Prevention of Occupational Skin Disease

2017· article· en· W2775445936 on OpenAlexaff
Tanya Gupta, Victoria H Arrandale, Irena Kudla, D. Linn Holness

Bibliographic record

VenueAnnals of Work Exposures and Health · 2017
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsCancer Care OntarioUniversity of TorontoOccupational Cancer Research Centre
Fundersnot available
KeywordsMedicineOccupational safety and healthPersonal protective equipmentDemographicsFamily medicineDisease preventionHand washingIrritant contact dermatitisDiseaseEnvironmental healthContact dermatitisInfectious disease (medical specialty)PathologyAllergyHygieneDemography

Abstract

fetched live from OpenAlex

Background: Occupational contact dermatitis (OCD) is a common occupational disease. Evidence suggests that education and training are effective prevention strategies. In spite of these known prevention strategies, workers continue to develop OCD. Little is reported regarding the actual training experience of workers. Objective: To examine the training experience of workers with contact dermatitis to identify areas for improvement. Methods: Participants were workers being assessed for contact dermatitis in an occupational health clinic. The anonymous survey collected demographics, workplace characteristics, and education and prevention practices. Results: Approximately 80% reported general occupational health and safety training; however, only 49% reported skin-specific training (SST). For workers reporting SST, most received information regarding exposure avoidance, hand washing, and glove use. This content was reported as helpful by at least 50%. Workers who did not receive SST indicated the most important content would be warning signs of skin problems, how to avoid exposure and skin care while using gloves. Conclusions: While the study was anonymous and used self-reported of training experience, the study suggests there are gaps in skin protection training. Addressing these gaps may lead to improved prevention and reduction in OCD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

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

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 head0.102
GPT teacher head0.440
Teacher spread0.338 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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