Rural-Urban Migration Pattern Shifts in the Developing Population of Plateau State, North-Central Nigeria
Bibliographic record
Abstract
The pattern of movement of people over time and space is dramatically changing its form to city urbanism. This study surveys the rural-urban migration pattern shift in the population development of Plateau State, Nigeria and focuses on the socio-demographic characteristics of rural migrants, impacts of rural-urban migration on rural and urban population, and migrants’ adaptive strategies in urban city centres. A mixed-method approach was used on the seven selected urban centres: Bukuru, Bokkos, Hwolshe, Jos, Langtang, Mangu and Pankshin. A 1325 sample size of rural migrants via a purposive and snowball sampling technique was employed. Interviews, focus group discussions (FGDs) and structured questionnaires were used primarily as source data. Multiple regression path models and factor analysis statistical techniques were used for the final analysis in the study that revealed the positive effects of socio-demographic traits of rural-urban migration as it correlated with each variable. The impacts of migration revealed structural change in population, menial jobs, entrepreneur development and regional interaction in population dynamics. Rural migrants made possible adjustments in their temporal stay in urban centres as a livelihood strategy, notwithstanding the imbalance effects on the population of rural and urban centres. Thus, a sustainable concentration of infrastructural development is suggested in conclusion as a means to curtail the rural-urban pattern of movement in the study region.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".