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Record W2524076330 · doi:10.1002/ajim.22654

Workers with hand dermatitis and workplace training experiences: A qualitative perspective

2016· article· en· W2524076330 on OpenAlexaff
Bethany Zack, Victoria H Arrandale, D. Linn Holness

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsSt. Michael's HospitalOccupational Cancer Research CentreCancer Care OntarioPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicinePerspective (graphical)Hand dermatitisTraining (meteorology)Occupational exposureHand eczemaQualitative researchPhysical therapyEnvironmental healthContact dermatitisAllergyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Workplace training may help to prevent contact dermatitis, a common work-related disease. Information on the characteristics of existing workplace training programs and worker perceptions of this training is limited. METHODS: Fourteen workers with suspected occupational contact dermatitis participated in one-on-one, semi-structured interviews. An inductive thematic analysis approach was used to identify interview themes. RESULTS: Workers expressed a desire for hands-on training with content relevant to their job tasks, favored training from supervisors who had practical experience, and were conflicted about employer motivations for providing training. Few workers had received training on skin protection. In many cases, the training workers had received differed greatly from their desired training. CONCLUSIONS: Although, workers with contact dermatitis describe having received workplace training, some question its value and effectiveness. This perspective may be attributed not only to the content and methods of training but also the health and safety culture of the workplace. Am. J. Ind. Med. 60:69-76, 2017. © 2016 Wiley Periodicals, Inc.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.055
GPT teacher head0.332
Teacher spread0.277 · 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 designQualitative
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

Citations15
Published2016
Admission routes1
Has abstractyes

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