Rural non-farm development: An assessment of the creation and impact of non-farm lots on Ontario's agricultural industry
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
Prior to this research, a count of rural non-farm lots created in Ontario during the 1990s did not exist. Nor were the implications of these rural non-farm lots on the viability of Ontario's agricultural community understood. Thirty-four counties/regions were surveyed and five case studies were conducted to identify the creation and impact of the non-farm lots in Ontario's agricultural land during the 1990s. As agriculture has become increasingly intensified, there has been a cumulative increase in rural non-farm lots. The creation of rural non-farm lots within agricultural land means that not only is physical farmland being lost, but the restrictions that accompany the introduction of non-farm uses also pose a threat to agricultural production. The viability of agriculture in Ontario is dependent on a farmer's ability to identify changing trends in agriculture and respond accordingly. The ability to respond, however, is increasingly affected by the cumulative presence of non-farm development.
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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 | 0.001 |
| 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