Rapid Urban Growth and Change in Urban and Municipal Limits of Bahawalpur City, Pakistan: A Spatio-Periodical Discourse
Bibliographic record
Abstract
Cities all around the world being crowded rapidly with accelerating urban growth and resultant urbanization particularly in developing countries. Currently, Bahawalpur City is also experiencing rapid urban growth and change in its urban and municipal limits. Therefore, the key objectives of this research were to overview the urban population growth with passage of time, expansion in urban area and resultant delimitations in municipal limits of the city. Data about population figures and spatial change have been derived from various sources including census reports, Tehsil Municipal Administration (TMA), Punjab Development statistics etc. Periodical urban growth of the city is divided into four phases characterized with notable events that geared up the urban growth; particularly the last phase has brought more rapid changes. The population of the city is also surging rapidly. Urban area of Bahawalpur City was extended from 4,308.40 acres in 1974 to 7,373.9 acres in 2010, and had caused substantial reduction in agricultural land area and significant addition in residential area. Resultantly, City’s municipal limits also have been altered and reclassified due to this urban stress and extended enormously with considerable fluctuations in agricultural and non-agricultural land area. Presently, City is continuously expanding outward, mostly in the form of housing colonies, roads, shops etc.
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 | 0.001 | 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) | 0.000 | 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".