Peri-Urbanization in Populous Developing Asian Countries: A Systematic Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Peri-urbanization in developing countries is a double-edged sword.It creates many economic opportunities but disrupts peri-urban livelihoods.Through a systematic literature review, we present a comprehensive overview of peri-urbanization and livelihood dynamics in China, India, and Indonesia.Data shows that physical urban development is outpacing population growth, leading to increased livelihood assets and outcomes but also disruptions.The rapid urban expansion increased peri-urban livelihood assets, leading to increased income and wellbeing for off-farm workers, while farmers faced landlessness, water degradation, and migrant competition.The findings encourage regional scientists and professionals collaboration with the government on peri-urban planning to develop a common framework for sustainable periurban livelihoods that anticipates spatial-demographic changes and livelihood pattern dynamics to identify and address future challenges.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it