Urban agriculture: multi-dimensional tools for social development in poor neighbourhoods
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
For over 30 years, different urban agriculture (UA) experiments have been undertaken in Montreal (Quebec, Canada).The Community Gardening Program, managed by the City, and 6 collective gardens, managed by community organizations, are discussed in this article.These experiments have different objectives, including food security, socialization and education.Although these have changed over time, they have also differed depending on geographic location (neighbourhood).The UA initiatives in Montreal have resulted in the development of a centre with a signiicant vegetable production and a socialization and education environment that fosters individual and collective social development in districts with a signiicant economically disadvantaged population.The various approaches attain the established objectives and these are multi-dimensional tools used for the social development of disadvantaged populations.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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