An Exploration of how the Relationship between Farmers and Retailers influences Precision Agriculture Adoption
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
As agricultural production systems attempt to transition to more sustainable practices to increase production and feed a growing world population, technologies such as precision agriculture hold great promise. However, there has been limited research into precision agriculture’s social consequences. This research evaluates precision agriculture’s impact on social relations between farmers and agricultural technology retailers in the cropping and dairy sectors in Ontario, Canada. A mixed methods approach, including analysis of the 2016 Canadian Census of Agriculture and in-depth interviews with farmers and retailers, revealed key trends in adoption patterns, accessibility of technologies, changing social relations, and policy implications of precision agriculture. As precision agriculture innovations continue to be promoted and adopted, this research demonstrates that attention to power relations is crucial in order to make the transition into digital agriculture equitable and sustainable.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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