Conversion of Residential Units to Commercial Spaces in Accra, Ghana: A Policy Dilemma
Bibliographic record
Abstract
Over the past three decades, Ghana's economy has been subjected to tremendous macroeconomic reform programmes. The reforms in the national economic system were reflected almost immediately on the urban landscape. One such change is widespread land-use conversion, mainly from residential to commercial spaces. This study examines the major forces driving conversion, processes involved in conversion, conflicts with existing land uses, and their impact on the urban-built environment and the livelihood of actors involved. The study involves 39 in-depth interviews with key informants, with strategic reports and documents used to contextualize interview results. The findings indicate that the conversion of residential to commercial units is widespread, and that it is the result of several factors, including the desire to improve economic opportunities in light of growing uncertainty, the mismatch between demand and supply for retail spaces, infrastructural development and redevelopment, and interest in expanding population and entrepreneurial activities. The conversion process is occurring informally, and many businesses that operate in the converted properties are small scale. Findings indicate planning implications associated with the conversion process and offer suggestions to address them.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".