Urbanising Thailand: implications for climate vulnerability assessment
Bibliographic record
Abstract
This report summarises a series of studies carried out by a multi-disciplinary team of Thai scholars. It focuses on the dynamics of urbanisation and climate change risks, and on the linkages between urbanisation, climate change and emerging patterns of urban poverty and vulnerability. It provides new and key insights, serving as a comprehensive background foundation for further research on urban climate vulnerability and resilience. Urbanisation processes as transformative processes are under-researched themes, not only in Thailand, but also in countries in Southeast Asia. Rapid physical and social transformations are taking place in these countries, yet the implications contributing to vulnerability are less well-understood. The research has focused on case studies from established and growing urban centres from across the country - Bangkok and the neighbouring area of Lad Krabang, Hat Yai, Chiang Mai, Udon Thani and Khon Kaen. Each case study presents its own specific insights into the history, drivers and implications of urbanisation, and also highlights many similarities. Drawing on a review of historical patterns of urbanisation and future risks associated with climate change, this research argues for a fundamental rethinking of future urbanisation in Thailand. This is a future that will need to be very different from current trajectories of urbanisation, based on a policy process that will need to be founded on informed public dialogue.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".