Implication of Intangible Location Attributes on Residential Segregation in Jos, Nigeria
Bibliographic record
Abstract
Residential segregation could be regarded as a process whereby two or more distinct communities who formerly lived together separate from one another due to many factors. Residential segregation is not only applicable to small communities but rather to a larger region. As a result of the ongoing civil unrest that engulfed the city of Jos, there has been a process of residential mobility and relocation among people of different faith. The paper is aimed at examining the implication of intangible location attributes on residential mobility, segregation and relocation in Jos town. Stratified random sampling technique was employed in order to come up with the sample needed to conduct the research. The data needed for the research were retrieved through structured, semi-structured and unstructured interview method of data collection. A qualitative method and approach of data analysis through the use of a thematic network analysis was incorporated in order to analyse the data gotten from the interview survey. The results uncovered that residential segregation in the study area leads to change in the residential pattern of Jos town. The variations and trends in the sales and rental value of residential properties were greatly affected as a result of the persisting residential segregation. The research concludes that residential segregation has a great implication on land and landed property value as variations in the values of residential properties is noticeable. There is a need for those in authority to take a decisive action in order to overcome and halt the persisting mobility and relocation in the study area.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".