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Record W1999816584 · doi:10.5539/mas.v7n2p33

An Analysis of the Environmental Vulnerability Index of a Small Island: Lipe Island, Kho Sarai Sub-District, Mueang District, Satun Province, Thailand

2013· article· en· W1999816584 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModern Applied Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTourismGeographyVulnerability indexVulnerability (computing)Index (typography)Environmental protectionSocioeconomicsArchaeologyEcologyClimate change

Abstract

fetched live from OpenAlex

Thailand is located in South East Asia and is a popular tourist destination. It is rich in both natural resources and culture. There are 691 islands in Thailand, and more than 214 of these islands are used for tourism. Koh Lipe is very Small Island of approximately 2 square kilometers, located in Talutao National Park in the southern part of Thailand. This research aims to assess the sensitivity of the Island in terms of tourism development by using the Environmental Vulnerability Index, or EVI. The results showed that the EVI of Lipe Island is approximately 5.7, which represents a very high vulnerability score. Particularly, the REI, the level of risk to hazard, which measures influences on the environment within the island (e.g., loss of forestry, tourist accommodation, waste water and solid waste) was approximately 6.2, while the EDI, the natural resilience of the state based on its native characteristics, (e.g. water resources, protected area, marine protected area, and law enforcement), was approximately 5.7. This is also a very important indicator of the vulnerability of the Island. Thus, to reduce the overall vulnerability of the island, all indicators included in the REI and the EDI must become management priorities. Over time, this will increase the immunity of the island to of the impact of tourism development.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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