The Quality of Farmland Protection in Canada: An Evaluation of the Strength of Provincial Legislative Frameworks
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
Continuous efforts by governments to protect agricultural land has resulted in a mix of interests, policies, and outcomes. Through this paper, our aims are to evaluate provincial legislative frameworks across Canada and to improve our understanding of why some provincial legislative frameworks to protect agricultural land are better than others. In our study, we evaluated and compared the strength of ten provincial legislative frameworks for agricultural land use planning. Our results show that Québec, British Columbia, and Ontario have the strongest legislative frameworks to protect agricultural land, while the rest of Canada’s provinces have only a moderate to weak policy focus. This situation leaves most of Canada’s agricultural land highly exposed to more conversion and non-farm uses. The results also illustrate how key elements of a legislative framework interact, serving to either enhance or detract from overall strength of policy focus, thereby informing a strategic approach to policy 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 | 0.001 | 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 | 0.000 | 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