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Record W4389309382 · doi:10.1080/1059924x.2023.2289967

Farmers’ Mental Health: The Mediating Role of Chronic Fatigue

2023· article· en· W4389309382 on OpenAlexaffabout
Didier Dolbec, Philippe Dubreuil, Laetitia Larouche

Bibliographic record

VenueJournal of Agromedicine · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Sherbrooke
Fundersnot available
KeywordsLonelinessAutonomyAffect (linguistics)Mental healthWorkloadStructural equation modelingGovernment (linguistics)PsychologyEnvironmental healthSocial psychologyMedicinePolitical sciencePsychiatryManagementEconomics

Abstract

fetched live from OpenAlex

The agricultural environment is known to be particularly harmful to farmers' psychological health. To better understand how its impact is modulated, this study mainly focuses on the mediating role of chronic fatigue between A) loneliness at work, autonomy, workload, government regulations and policies and financial hardship, and B) life satisfaction, positive affect and psychological distress. The study is based on a sample of 453 Canadian dairy farmers. Structural equation modeling analyses confirmed the mediating role of chronic fatigue in the relationships between the factors studied, with the exception of financial hardship. Implications for research and the psychological burden affecting agricultural workers are discussed.

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)0.003
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 score0.146
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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

Citations8
Published2023
Admission routes2
Has abstractyes

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