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Record W1991982938 · doi:10.1080/08920750701525784

Tsunami Impacts on Phuket's Diving Industry: Geographical Implications for Marine Conservation

2007· article· en· W1991982938 on OpenAlexaff
Michiru Alexa Main, Philip Dearden

Bibliographic record

VenueCoastal Management · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMarine industryRecreationScuba divingGeographyFisheryEnvironmental resource managementEnvironmental protectionOceanographyEnvironmental scienceEcologyGeologyBiology

Abstract

fetched live from OpenAlex

This article examines the impacts of the December 26, 2004 Indian Ocean tsunami on the scuba diving industry in Phuket, Thailand. Interviews were carried out to determine tsunami effects on dive tour companies, and post-dive questionnaires were distributed to ascertain recreational diver perceptions of tsunami effects on dive sites. Of the 65 companies in December, 2004, 42 were fully operational in April 2005. During the post-tsunami high season, 35 companies lost an average of 63.6 ± 40.5% days of diving, compared to an average season, amounting to a total of 4631 diving days. During this time, the diving industry was instrumental in post-tsunami rescue, relief, and restoration efforts. Despite high expectations for damage, tsunami effects on dive sites were not noticed by most recreational divers. Using a geographical perspective, this study highlights how tsunami effects on the diving industry have several implications for marine conservation in Thailand.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.017
GPT teacher head0.257
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2007
Admission routes1
Has abstractyes

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