Women Entrepreneurs in Conserving Land: An Analytical Study at the Sundarbans, Bangladesh
Bibliographic record
Abstract
Women entrepreneurs as well organized and socially motivated group do contribute towards the protection of environmental resources. Land as important ingredients of natural environment provides not only livelihood but protects a greater mass during natural disaster. Cyclone Sidr and Ailla consecutively visited in 2007 and 2009 at the southern district Satkhira in Bangladesh. As a direct consequence of global climate change the incidents impelled ultra-poor people living in the costal belt to get lost their accommodation. Thereby in a post disaster context the agenda of environmental security through land conservation is one of the ways to protect the environment from being degraded. Women as agent of environmental development may contribute in this focused area. Accordingly this paper would like to spotlight different roles played by women entrepreneurs in land conservation with a view to ensuring environmental security in the disaster prone Gabura Union, Shamnagar, Satkhira. Key words: Women Entrepreneurs; Environmental resources; Gabura union
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".