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Coastal Livelihood Transitions: Socio‐Economic Consequences of Changing Mangrove Forest Management and Land Allocation in a Commune of Central Vietnam

2008· article· en· W2073461851 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

VenueGeographical Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLivelihoodGeographyPovertyMangroveNatural resource economicsProperty rightsNatural resourceBusinessAgricultureAgroforestryEconomicsEconomic growthFisheryEcology

Abstract

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Abstract This paper reviews the evolution of land use and mangrove forest management in a coastal commune in Central Vietnam from its early period of environmentally sound management under a common property regime, through State and cooperative management, to individual household allocation under the economic reforms of the 1990s. It analyses in particular the introduction of shrimp culture and its environmental and socioeconomic consequences. The case study demonstrates that, while opening up many economic opportunities, Vietnam's economic reforms have had uneven impacts on income inequality. Like many cases in Asia and Latin America, the disruption of common property resources – through the introduction of aquaculture as a livelihood opportunity and producer of an export crop – leaves farmers indebted and natural resources polluted. But, ironically, it was the financially better‐off aquaculture farmers, who had more capacity for risk‐taking and investing, who ended up most indebted, in comparison with poorer farmers who had already sold their ponds. The latter were less integrated into the market economy and relied more on marine product collection. This paper suggests that attention to local contexts and histories can contribute to a better understanding of the causes and consequences of environment‐poverty interfaces.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.046
GPT teacher head0.329
Teacher spread0.283 · 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