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Record W3127342501 · doi:10.1080/17477891.2021.1873098

Household recovery from disaster: insights from Vietnam’s fish kill

2021· article· en· W3127342501 on OpenAlex
Trương Văn Tuyển, Melissa Marschke, Tuan Viet Nguyen, Georgina Alonso, Mark Andrachuk, Phuong Le Thi Hong

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

VenueEnvironmental Hazards · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
FundersNational Foundation for Science and Technology Development
KeywordsLivelihoodFishingPrecarityFisheryCommercial fishingBusinessSocioeconomicsResilience (materials science)Psychological resilienceFishing industryAgricultureNatural resource economicsGeographyEconomics

Abstract

fetched live from OpenAlex

In April 2016, toxic chemicals leaked into the ocean in central Vietnam during a trial of a waste discharge system for a newly built steel plant. This resulted in a significant fish kill that impacted coastal livelihoods and the seafood sector across four provinces. We surveyed 520 households to understand how people experienced this environmental disaster, and their recovery strategies. On average people stopped all fishing-related activities for over nine months: this was a period of precarity for most households. Fish farming households suffered the greatest financial losses. Fishing households, while having a lower income, recovered more quickly than fish farming households since the mobility of boats and fishing grounds afforded flexibility and adaptability. In the longer term, relatively significant financial compensation from the company responsible for the spill made a difference to household recovery and their perceptions of the disaster. We argue that this toxic spill was a major stressor for coastal households in central Vietnam, and contribute to the precarity and the livelihood resilience literatures by offering a multi-dimensional perspective to understanding household recovery strategies. This study also draws attention to the importance of better understanding financial compensation as an aspect of recovery from human-induced disasters.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.249
Teacher spread0.206 · 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