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Record W2413916995 · doi:10.1177/216507990205000606

An Occupational Health Nursing Education Program

2002· article· en· W2413916995 on OpenAlexaboutno aff
Bernadette Hodge, Sue Ackerman, Carol Evans, Tara Erb, Mary Lou Wranesh Cook

Bibliographic record

VenueAAOHN Journal · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational health nursingNursingOccupational safety and healthQuarter (Canadian coin)Community healthMedicineNurse educationHealth educationMedical educationFamily medicinePublic health

Abstract

fetched live from OpenAlex

A collaborative effort between community health faculty in an upper division nursing program and nurses from a nearby agricultural health and research center resulted in an educational program focused on occupational health and safety issues in the agricultural industry. The 3 hour class was presented each semester between 1997 and 1999 to RN students enrolled in a community health organization class. In addition to information about the health and safety hazards in agriculture, the nursing students learned about the center's research projects and clinical services available to the farming community. A follow up survey was mailed to the nursing students to evaluate the effectiveness and relevance of the occupational health program by identifying the proportion of the nurses' caseloads spent on occupational health problems, and whether the information and materials presented in the class were relevant to practice. Results showed that even though the surveyed nurses were employed in nonoccupational practice settings, nearly everyone rated the occupational health information as useful. Findings also revealed that although nurses in nonoccupational practice can spend nearly a quarter of their time caring for clients with work related health problems, they may lack adequate educational preparation to do so.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.000
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0900.015

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 head0.038
GPT teacher head0.315
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2002
Admission routes1
Has abstractyes

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