Impacts of Downtown Developments to Facilitate Environmental Sustainability and Presence of Core and Frame: A Case Study of Saddar, Karachi, Pakistan
Bibliographic record
Abstract
A real sustainable world and a livable environment for everyone is currently needed and becoming an extraordinarily challenging task. Sustainability for whom-who benefits and who loses? The increasing environmental problems are also hampering the sustainability. The remarkable increase in population and severe food shortages has brought unprecedented burden on land.Land is considered as space, territory, location, ecosystem, reserve and human habitat above all. Land-use provides a basis for identification of different functional zones in the city thus providing a framework for shaping the internal structure of a city. The best-planned development of any area is possible when the problems of that area are well understood, well documented and closely monitored. Systematic information on land-use / land cover classes, environmental problems and the available arrangement is critically important for future planning of an area.The rationale of this study is to indicate the presence of core and frame in the downtown area of Saddar, Karachi and to examine how finished downtown developments are designed to facilitate environmental sustainability. The field inventory has been conducted to find out the functional and physical developments and sustainability of the study area. In addition the process models have been applied to find out the environmental sustainability. The results of filed investigations show that Saddar does not fulfill the requirement of any of the classical land use models. With reference to the planned development of the core area, zoning laws should be applied to place the functions properly to their respective location. The main problems should be considered as prime matters for the city planners and agencies.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".