Farmwomen's emotional geographies of care: a view from rural Ontario
Bibliographic record
Abstract
This article contributes to geographies of rural women's health by investigating farmwomen's perceptions of their caring roles and responsibilities, which are crucial to the wellbeing and sustainability of rural people and their communities. Featuring a thematic analysis of interviews and a focus group with farmwomen from Ontario, Canada, the research examines farms and farming as unique places and spaces of care. Informed by the literature on emotional geographies, the article examines how care is situated and performed through farmwomen's negotiation of multiple, overlapping identities and how these are embodied and affective in emotional work. The findings not only confirm the paramount role of women in rural care, they demonstrate the interdependence of family, community and work as central to the challenges of rural women's health. The article argues that the link between health and productivity on the farm is crucial to understanding farmwomen's caring, and highlights the paradox that their emotional work is as much about opportunities for power and resistance as it is about obligation and subordination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".