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Record W2089873484 · doi:10.13031/2013.18192

Health and Well-Being of Farm Women: Contradictory Roles in the Contemporary Economy

2005· article· en· W2089873484 on OpenAlexaffabout
Wendee Kubik, Richard Moore

Bibliographic record

VenueJournal of Agricultural Safety and Health · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsWifeWork (physics)DemographicsHealth careBusinessQuality of life (healthcare)NursingQuality (philosophy)Rural areaPsychologyEconomic growthSocioeconomicsEnvironmental healthMedicinePolitical scienceSociologyEngineeringEconomics

Abstract

fetched live from OpenAlex

To document the roles of farm women in the contemporary farm economy, their physical health and psychological well-being, and their interaction with and evaluation of the health care system, a multi-stage study employing both quantitative and qualitative research strategies was implemented. A total of 717 Canadian farm women in 20 rural Saskatchewan municipalities returned a 20-page objective questionnaire that focused on: (1) health care, (2) health status, (3) social support, (4) well-being, (5) lifestyle and activities, (6) stress, (7) work, (8) male and female roles, (9) demographics, and (10) farm issues. Subsequently, 20 qualitative interviews were conducted to explore in-depth the findings of the survey. Results document long hours of work, on and off the farm, that often went unacknowledged; pressure to assume the role of a "traditional farm wife," expectations they often felt they had difficulty living up to; and high levels of stress in response to economic and family pressures. Although rating the availability and quality of health care as "fair to good," the farm women commented on the lack of access to medical and counseling services, and a perceived lack of understanding by policymakers and professionals. Integrated health and educational service centers, increased use of nurse practitioners, and establishment of mobile health services are recommended policy initiatives.

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 score0.771
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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

Citations17
Published2005
Admission routes2
Has abstractyes

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