Space and Infrastructure Functionality in Yaounde Markets
Bibliographic record
Abstract
Market infrastructure plays an undeniable role in the spatial configuration of cities and is central to their efficient functioning. This paper examines the implication of the nature of the social and economic infrastructure in the efficient functioning of market spaces in Yaounde. Over 180 traders in 72.2% of main markets in Yaounde were sampled through a stratified random sampling technique and authorities of the City Council and Sub-Divisional Councils, Market Directors, Market Presidents, and fire brigade workers were equally interviewed through a purposive sampling technique. Findings indicate that an increase in the population of traders is putting a strain on the ability of the local council to provide adequate marketing infrastructure. The absence of adequate market infrastructure has implications on health, sanitation, environment as well as the aesthetic value of markets. The non-site marketability of certain markets has resulted in underutilization. This study suggest a long term commitment by the Yaounde City Council authorities to provide adequate and adapted infrastructure in markets, stronger private sector involvement in market development and the introduction of community self-help programmes and the initiative of private ‘traditional’ market establishments so as to ensure efficient market development.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".