Urbanization of arable land in Lahore City in Pakistan: A case-study
Bibliographic record
Abstract
This paper is intended to explore the extent of converting arable land for urban use and the pace of construction activities on the residential housing schemes. In most of the schemes more than half of the plots are inbuilt because by-laws are very flexible and owners of vacant plots have no fear of cancellation and they consider this investment a better safeguard against inflation. Moreover,speculators invested their money in the plots because no cost/taxes are involved in the keeping of vacant plots. By implementing strict by-laws and imposing capital gains tax on vacant land and converting the collected taxes from the schemes to create revolving funds for house building for really needy, low-middle income groups, the extent of conversion arable land into housing schemes can be reduced. Key words: Speculators; Pace; Conversion; Vacant plots; Density; Land policy Resume: Ce document est destine a explorer l'etendue de la conversion de terres arables pour une utilisation urbaine et le rythme des activites de construction sur les programmes de logement residentiel. Dans la plupart des regimes de plus de la moitie des parcelles sont integre, car les reglements sont tres flexibles et les contre l'inflation. Par ailleurs, les speculateurs ont investi leur argent dans les parcelles, car aucun cout / taxes sont impliques dans le maintien de parcelles vacantes. En mettant en œuvre stricte des reglements et d'imposer les gains en capital sur des terrains vacants et en convertissant les taxes percues par les regimes de creer des fonds renouvelables pour la construction de la maison pour vraiment necessiteuses, les groupes a revenu faible ou intermediaire, l'etendue de la conversion des terres arables en programmes de logement peut etre reduite. Mots cles: Les speculateurs; Pace; Conversion; Terrains vagues; Densite; Politique fonciere
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".