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Record W2975142109 · doi:10.5539/jsd.v12n5p1

Sustainability of Climate Change Adaptation Practices in South-Western Coastal Area of Bangladesh

2019· article· en· W2975142109 on OpenAlexvenueno aff
Md. Humayain Kabir, Mohammed Abdul Baten

Bibliographic record

VenueJournal of Sustainable Development · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicClimate change impacts on agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsRainwater harvestingSustainabilityGeographyClimate changeCroppingBambooEnvironmental protectionAgricultureEcology

Abstract

fetched live from OpenAlex

In Bangladesh, South Western (SW) coastal area is the most vulnerable due to its geo-morphological characteristics and socio-economic conditions. Consequently, this study aims at find out the sustainable adaptation practices to climate change impacts through a series of field study along with questionnaire survey and reviewing the secondary literature. The study shows that near about 50 adaptation practices are exercised in SW coastal area of Bangladesh. Among these, growing local rice variety, rainwater harvesting, directly use of pond water through proper pond management, raising plinth, lowering use roof etc. are the more sustainable adaptation practices. On the other hand, homestead gardening, dyke nursery, cropping on raised mound, school cum cyclone shelter, purification of pond water trough traditional knowledge are the moderately popular and sustainable adaptation practices in terms of social, economic and environmental aspects. Furthermore, shrimp cultivation at homestead, fish-vegetables combined cultivation, purification of pond water through govt. supported filter, pond filter, bamboo made piling house etc. are the less sustainable one.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.269
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2019
Admission routes1
Has abstractyes

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