THEORETICAL PROCEDURE FOR URBAN RENEWAL PROGRAMME: AN AWARENESS CREATION IN NIGERIA
Bibliographic record
Abstract
The aim of the paper is to educate the general public, particularly the improvement area residents, on the theoretically prescribed procedure for the execution of urban renewal. This has became necessary because the executors of urban renewal in Nigeria have tended to implement urban renewal programmes without any identifiable procedure or modality thus making urban renewal programmes in Nigeria appear awesome, controversial and in most cases up-hole tasks. Data used for the write-up were gathered from secondary and primary sources such as interviews, observations, journals, textbooks, legal documents and official reports. The identified procedure ranges from identification of urban renewal area, involvement of citizens, surveys, resettlement plan, revitalization, draft plan, operative plan, relocation, urban renewal plan execution to bringing back the displaced households. It is concluded that urban renewal programme must religiously adopt this sequence and if this is done, urban renewal will become realizable, harmonious, less controversial and hitch-free to the satisfaction of all in Nigeria. Keywords : Urban renewal, theoretical procedure, redevelopment, rehabilitation, conservation, revitalization.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".