Socioeconomic Impacts of New Settlement Development on Local Communities: A Case Study in Pattalassang Sub-District, South Sulawesi, Indonesia
Bibliographic record
Abstract
Rapid population growth and the development of new settlements have led to significant and uncontrolled land use change, particularly the conversion of agricultural land to residential areas.This study explores the socioeconomic impacts of such changes in Pattalassang District, South Sulawesi, Indonesia, a newly established satellite city.Using qualitative descriptive analysis, spatial analysis, and quantitative analysis, as well as SWOT analysis, we found that the conversion of agricultural land into settlements has led to an increase in population, changes in social activities, a decline in traditional harvesting culture, and a decrease in crime rates.Economically, these changes have opened up new employment sectors, created side jobs, reduced unemployment, and increased incomes and land prices.However, our analysis also revealed that 5.46% of residential land in 2011 and 30% in 2021 did not improve.Comply with spatial plans.Our findings underscore the need for coordination of spatial planning policies at the provincial, district, and metropolitan levels and emphasize the importance of consistent and transparent policy implementation, particularly in relation to protected paddy fields.
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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 | 0.001 | 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".