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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 OpenAlex
Didier Dolbec, Philippe Dubreuil, Laetitia Larouche

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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 score0.832
Threshold uncertainty score0.134

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
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