Occupants’ Satisfaction and Rent paid for Residential Properties close to
Bibliographic record
Abstract
The paper examined occupants’ satisfaction and rent paid for residential properties within three neighbourhoods (Olusosun, Abule – Egba, and Solous) close to waste dump sites and Ketu neighbourhood (not close to dump site) in Lagos Metropolis. Relative Satisfaction Index, Analysis of Variance and Correlation Coefficient are used to analyse the data based on the System Unit, Dwelling and Environmental Subsystems. The results show that the occupants of properties close to dump sites have a minimum level of satisfaction of 37.22, 40.48 and 27.09 percent in the system unit and subsystems; while Ketu is 60.00, 60.71 and 56.25 percent. Also, a weak linear relationship between rental value and the satisfaction of occupants in the neighbourhoods (Olusosun, 0.056 (p > 0.05); Solous, 0.026 (p >0.05); Abule-Egba, 0.062 (p > 0.05); and Ketu, 0.108 (p > 0.05) exist. The paper recommends that property investors should avoid building around dump sites to enhance property values.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".