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Record W2566751119 · doi:10.1108/ohi-02-2009-b0004

Designing for Urban Agriculture in an African City: Kampala, Uganda

2009· article· en· W2566751119 on OpenAlex
Jeanne M. Wolfe, Sarah McCans

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen House International · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsMcGill University
Fundersnot available
KeywordsAgricultureGovernment (linguistics)Citizen journalismBusinessEthnic groupEngineeringEconomic growthPolitical scienceEnvironmental planningGeographyArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.269
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it