URBAN EXTENSION AND RECONVERSION OF URBAN MARKETS IN ANGREEXTENSION
Bibliographic record
Abstract
The urban dynamics have been very important over the last two decades in the town of Abidjan.The front pioneers of these spatial extension phenomena are the peripheries which areexpanding to meet the high demand for housing of the Abidjanese and which are often underequipped with commercial infrastructures. Angre extension, a residential area located to the north of the municipality of Cocody, is part of this dynamic of demographic pressure and arecomposition of urban markets to adapt to the consumption needs of resident populations. This research therefore focuses on the impact of the spatial expansion of the town of Abidjan through commercial activity in the quarter of Angre extension. To achieve this, the methodology was based on documentary research and a field survey involving observation and a questionnaire survey of 80 shopkeepers and 70 local customers who are heads of households in the study area. The results of our analysis revealed that under the effect of the urban expansion of the city of Abidjan, the urban markets in Angre extension are undergoing a reconfiguration whose dynamics are based on multiple attractive independent commercial centers. The promoters are private individuals of diverse cultural origins. Beyond the permanent supply of foodstuffs and other consumer goods, these urban markets strongly influence the structure of this residential neighborhood and considerably modify the lifestyle of its residents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".