Bibliographic record
Abstract
This paper investigates the likely problems resulted from abandoned housing projects in Nigeria wish special considerations to Bauchi metropolis as emergent urban area.Abandoned housing projects is an alarming phenomenon that existed for decades in Nigeria.The reasons for this was that different factors such as, poor quality control by regulatory agencies; lack of access to credit facility, inflations, corruption and communication gap among the personnel.Cost of building materials, inability of clients to engage contractors or designers' capability etc.The objectives of this research study are to determine the factors responsible for abandonment projects.To identifies the consequences of abandoned projects.The method adopted was quantitative; the population of the targeted respondents was gotten through BSDB.primary data was collected using structural questionnaires.346questionnaires were distributed across the study area and 285 was retrieved.Primary data was analysed and discussion of the results revealed that abandoned housing projects causes a lot of harm to a neighbourhood, like criminal hideout, unsecured area.It was revealed that inflation causes housing project abandoned.It was concluded that government should intervened in the through implementation of housing development regulations, concerned agencies should be alerted most especially the Bauchi State Development Board on the economic capabilities of intended homeowners.More again other relevant agencies to strictly implements the condition for housing development has its contained in the rules for housing development.Individuals should be enlightening on the problems caused by this abandoned housing projects to the neighbourhood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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) | 0.995 | 0.986 |
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; both teacher heads agree on what is shown here.
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".