Does direct farm marketing fulfill its promises? analyzing job satisfaction among direct-market farmers in 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
Short food supply chains have become the focus of considerable research in the last two decades. However, studies so far remain highly localized, and claims about the economic and social advantages of such channels for farmers are not backed by large-scale empirical evidence. Using a web survey of 613 direct-market farmers across Canada, this article explores the potential economic and social benefits that farmers derive from participating in short food supply chains. We used multivariate analysis to test whether a farmer's degree of involvement in direct food channels is positively correlated with levels of work enjoyment, social satisfaction, and economic satisfaction. The results indicate that, overall, direct-market farmers report high levels of occupational satisfaction, although work-related challenges persist, such as stress, excessive workloads, and competition. Farmer participation in short food chains was also a positive predictor of work enjoyment and economic satisfaction, but not of social satisfaction, as measured by the share of total farm sales attributable to direct selling. Net annual farm revenue, the share of direct food sales involving a middleman, age, and gender also correlated with one or more dimensions of occupational satisfaction.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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