Designing for Urban Agriculture in an African City: Kampala, Uganda
Bibliographic record
Abstract
This paper reports on a pilot project to develop a 32-acre site made available by the City of Kampala for housing with the express purpose of promoting urban agriculture. Started in 2004 under the leadership of a city agronomist, with the aid of research teams from McGill University, Montreal, Makerere University, Kampala, and financial support from IDRC, the project is still ongoing. The process is one of participatory planning with the future residents, a group of mixed ethnicity and religions from all parts of the city, and includes training in house construction and agricultural techniques. Project implementation has been slower than anticipated due to unforeseen hazards such as mislaid title deeds, unavailability of government resources, communication shut-downs, the time required to transact business, acquire permissions, permits and the like, and most recently by the threat of a major power line from the Bujagali Falls to serve Kampala being thrust through the site. We nevertheless remain optimistic of ultimate success.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".