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Record W2071956684 · doi:10.1002/ajim.20811

Farm work exposure of older male farmers in Saskatchewan

2010· article· en· W2071956684 on OpenAlexafffundabout
Donald C. Voaklander, James A. Dosman, Louise Hagel, Joel Warsh, William Pickett

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsQueen's UniversityUniversity of SaskatchewanUniversity of Alberta
FundersCanadian Institutes of Health ResearchNational Agricultural Statistics Service
KeywordsMedicineDemographyOccupational safety and healthCohortWork (physics)Cohort studyEnvironmental healthGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: The average age of farmers in North America is increasing each year. Research has determined that age and health status are both related to increased risk of injury. The purpose of this research was to determine the association of health and medication factors with exposure to farm work in older male farmers. METHODS: As part of a cohort study to study determinants of injury on Saskatchewan farms, 5,502 farm people associated with 2,386 Saskatchewan farms were surveyed by mail questionnaire during the winter of 2007. The primary dependent variable was average hours per week of farm work. Independent variables included illnesses, age, and medication use. RESULTS: The mean number of hours worked per week by farmers aged 55 years and older was 48. There was a significant relationship between age and hours worked with each year of age accounting for about 0.85 hr less work per week. Medication use was related to a reduction in weekly work hours during the busy fall season but was not related to work exposure averaged over the whole year. In multivariable linear regression analysis, the main contributing variables to farm work exposure were: retired status (-), working off farm (-), and age (-). CONCLUSION: The amount of hours older farmers work on the farm is considerable compared to any other occupational category. While there is a declining trend in the amount of work, a 75-year-old farmer still works, on average, about 34 hr per week. Some farmers do appear to self-limit during busy times of the year if they are taking medication.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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

Citations26
Published2010
Admission routes3
Has abstractyes

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