Negotiating Uncertainty: Jamaican Small Farmers’ Adaptation and Coping Strategies, Before and After Hurricanes—A Case Study of Hurricane Dean
Bibliographic record
Abstract
In recent years, Jamaica has been seriously affected by a number of extreme meteorological events. The one discussed here, Hurricane Dean, passed along the south coast of the island in August 2007, damaging crops and disrupting livelihood activities for many small-scale farmers. This study is based on detailed ethnographic research in the southern coastal region of St. Elizabeth parish during the passage of Hurricane Dean, and explores the ways in which small farmers negotiate the stressors associated with hurricane events. The study employed a mix methods approach based on a survey of 282 farming households. The paper documents coping strategies employed by farmers in the immediate period of Hurricane Dean to reduce damage to their farming systems, and highlights the positive correlation between farmers’ perceptions of hurricanes and degree of damage to local farming systems. In addition, through an analysis of socio-economic and environmental data, the paper provides an understanding of the determinants of adaptive capacity and strategy among farmers in the area. The study indicated that despite high levels of vulnerability, farmers have achieved successful coping and adaptation at the farm level.
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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 | 0.000 | 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".