Linking Urban Agriculture With Urban Management: A Challenge For Policy Makers And Planners
Bibliographic record
Abstract
The rapid increase in urban population and the challenge of urban food security in developing countries has facilitated the entrance of agriculture into our cities, “Ilis phenomenon (urban agriculture) is mostly facing mixed reactions by policy makers and ignorance by city planners. However, there are positive signs of acceptance as well as different entry points for the integration of urban agriculture into urban planning for mutual benefits. One of such avenues is the potential of converting urban organic waste into useful material for agricultural production. This could enhance increased food production as well as reduce health and environmental problems caused by accumulated organic waste, This paper presents a case study in Ghana focusing on strategies to integrate urban agriculture into urban environmental management through re-use of municipal waste. It is based on a project co-funded by the International Development Research Centre (IDRC), Canada, and the International Water Management institute (IWMI), which is aimed at providing decision support for the municipal authorities on viable, environmental friendly and location-specific comporting technologies that fit into the (peri)urban context and match the requirement and ability to pay of different farming systems and other potential users. Situation analysis shows that there are available wastes that could be recycled and many stakeholders perceive comporting as a good way to minimise waste and as a source of input for agricultural production. Therefore many potential users are willing to use and buy the compost. The necessary institutional linkages to be put in place to ensure sustainability of recycling waste for urban and peri
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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 | 0.000 | 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 | 0.000 |
| 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 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".