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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 OpenAlexaffabout
Jeanne M. Wolfe, Sarah McCans

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2009
Admission routes2
Has abstractyes

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