IMPACT OF URBAN CITY SPRAWL ON THE IDENTITY OF SUBURBS AND RURAL AREAS
Bibliographic record
Abstract
Urban sprawl is the rapid expansion of the city towards the suburbs and the countryside, and it happens for various reasons. The first one is of residential nature, and is a result of growing population density while others are of political, economic, and social nature. There is no doubt that the city's encroachment towards the countryside and the emergence of new patterns of construction such as buildings and transportation networks have more drawbacks than advantages, in developing countries, especially in the absence of planning. This phenomenon causes the rise of real estate prices that leads to a change in the direction of its use while decreasing the green areas that are considered the lungs of cities and thus leading to environmental damage, pollution, and destruction of the countryside. This expansion also obliterates the identity and characteristics of the countryside, leading to the loss of its aesthetics and heritage. In addition, urban sprawl also threatens its original inhabitants and may force them to be displaced (force migration) due to the loss of their land, their lifestyle, and their work sometimes. The main aim of this research is: control or slow down the urban city sprawl, and preserve the countryside’s identity and its specificities. This urban encroachment can be controlled by administrative and legal methods, and in various sustainable ways, through planning based on academic and scientific studies including the issuance of laws to amend the investment ratio in the city and in the countryside. This strategy of this research will expose sustainable methods in order to develop and improve the economic return of rural areas by investing in a productive agricultural sector, or in a tourism sector that makes the countryside a destination for leisure and comfort for the city's residents. On this basis, we can stop or slow down the encroachment of the city and preserve the social, environmental, aesthetic, and characteristics of the countryside.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".