Study of the Characteristics of Farmers on Practicing Coping Strategies towards Household Food Security during Flood Period
Bibliographic record
Abstract
A study was carried out at flood affected reverine villages of three upazilas under Jamalpur district in Bangladesh during September, 2011 to May, 2012 to explore the relationship, contribution and direct–indirect effect between personal attributes and their coping strategies towards household food security practiced by the farmers during flood. Data were collected from randomly selected respondents through both the qualitative and quantitative techniques and analyzed with the help of SSPS. Out of 18 personal, economic, social and psychological characteristics of the farmers, the personal education, housing condition, annual income, annual expenditure, savings, organizational participation, participation in IGAs, cosmopoliteness, environmental awareness, knowledge on flood coping mechanisms and household food security had positive and credit received and utilization of received credit had negative while age, family size, training received, risk orientation and involvement in safety net programmes had no significant relation with coping strategies towards household food security during flood period.
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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 | 0.000 | 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) | 0.002 | 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".