Flood and Riverbank Erosion Displacees: Their Indigenous Survival Strategies in Two Coastal Villages in Bangladesh
Bibliographic record
Abstract
It is reported that flood and riverbank erosion together intensify the process of pauperization in rural areas of Bangladesh. Riverbank erosion often destroys cultivable land, dislocates human settlements and also at the same time, damages the growing crops; massively disrupts road-linkages and communication infrastructure in the country. With this situation, this paper generates empirical data on two coastal villages located in two different regions of the country showing evidence of displacement of the total way of life due to flood and riverbank erosion. Due to this natural calamity, the victims have to adapt to the changing environmental conditions, and consequently they adopt many socio-political, economic and cultural strategies in order to survive in the face of the plethora of problems. Flood and river bank erosion displacees try to gain control over their environment through their multi-dimensional adaptation strategies. This paper thus locates the indigenous strategies and mechanisms that the displacees usually adopt to grapple with the catastrophic effects of flood and erosion in the coastal areas of rural Bangladesh.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".