Adaptative strategy to mitigate impacts of repetitive flooding of residents in Thailand's Ayutthaya province
Bibliographic record
Abstract
Abstract This research investigates the socio-economic, behavioral, and psychological consequences of repetitive flooding on the residents of Ayutthaya's four flood-prone districts. The study also examines the individual-level adaptative strategies adopted by the local residents to coexist with the flooding. The findings revealed several challenges encountered by the flooded households. In addition, most of the respondents expressed a preference to live out the floods in their residences rather than relocating to a makeshift shelter. The ability to live through the floods was largely attributable to the architecture of their residences whereby the houses are raised a few meters above the ground with the living quarter on the upper level, which is the most prominent adaptative strategy. Other adaptative strategies included, e.g., the ownership of a flat-bottom boat and pre-flood stocking-up on basic necessities. Furthermore, in light of the residents’ preference to live out the repetitive flooding, this research also proposes a simple means to enhance the effectiveness of the localized flood relief efforts.
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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 | 0.000 | 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".