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Record W1967009460 · doi:10.3763/cdev.2009.0001

Adaptation and development: Livelihoods and climate change in Subarnabad, Bangladesh

2009· article· en· W1967009460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClimate and Development · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicClimate change impacts on agriculture
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLivelihoodClimate change adaptationAdaptation (eye)Climate changeGeographyEnvironmental resource managementPolitical scienceEnvironmental planningNatural resource economicsDevelopment economicsEnvironmental scienceEconomicsAgricultureEcologyPsychologyBiology

Abstract

fetched live from OpenAlex

This paper explores the relationship between environmental change and development through a vulnerability study of a rural village in southwest Bangladesh. Villagers deal with a variety of pressing stresses, and climate change is not considered separately, if at all. Environmental, political and economic conditions and adjustments in resource use systems, particularly shrimp farming, have changed livelihood opportunities and increased the vulnerabilities of poor villagers to future environmental changes, including climate change. Practical adaptation strategies to reduce vulnerabilities to climate-related stresses reflect the dynamics of people's livelihoods and address the conditions they currently face. In this case, planned adaptations were mainstreamed in the sense that they contributed to the livelihoods of people and made some improvement in their capacity to deal with changes in climate, and they were undertaken via established non-government institutions.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.063
GPT teacher head0.254
Teacher spread0.191 · 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