A comparison of farm stressors in the UK and Canada
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.
Bibliographic record
Abstract
To understand the effects of stress on farmers, international data collection needs to be undertaken on a global level to enable cross-national comparisons, including across Commonwealth countries. An online survey compared farming stress in the UK and Canada (N = 569: 51% UK, 49% Canada). While finances were the primary stressor in both nations, Canadian farmers more frequently experienced stress from weather and labour management than UK farmers, who reported stress from animal health, farm/rural crime and isolation more often than their Canadian counterparts. Targeted interventions must address these contextual challenges. These findings support the newly developed ‘Interconnected Farm Stress Pyramid’ which provides insights into the synergistic nature of farm stressors. An integrated scale is now necessary to enhance understanding of the impact of stress experienced by Commonwealth farmers.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it