The policy linkage of the municipal and provincial government brought by the Food Policy Council in Toronto, Ontario
Bibliographic record
Abstract
近年欧米の都市を中心に、都市と周辺地域の連続する空間における食料の生産から消費、廃棄までの過程とそれに関わる様々な主体から成る「都市地域食システム」を構築しようとする動きが盛んになり、それを推進する基盤としてフードポリシーカウンシルが設立されている。本研究では、都市地域食システムの先進事例とされるカナダのオンタリオ州トロント市を対象に、フードポリシーカウンシルが及ぼす市・州の政策への影響について明らかにすることを目的とする。文献調査及びヒアリング調査から、フードポリシーカウンシルが様々な主体に直接的・間接的影響を与えたことで、市と州において「食」を主対象とした政策や法律が策定され、他分野の政策でも「食」の視点が組み込まれている。「食」は地域レベルや分野を超えた共通項となり、市と州の政策が連関し始めている。
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".