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Record W2944617101 · doi:10.24043/isj.84

Tourism demand and migration nexus in Small Island Developing States (SIDS): applying the tourism demand model in the Pacific region

2019· article· en· W2944617101 on OpenAlexaffvenue
Kantaro Takahashi

Bibliographic record

VenueIsland Studies Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsNexus (standard)TourismSmall Island Developing StatesEconomic geographySmall islandRegional scienceGeographyEconomicsBusinessEconomyClimate changeOceanographyComputer science

Abstract

fetched live from OpenAlex

This paper demonstrates the nexus of tourism demand and the migrants from small island developing states (SIDS) in the Pacific region using an econometric approach. Emigrants are an important element of island society. The tourism industry is crucial for many islands. Although the nexus of tourism and migration has been discussed in developed countries, especially in terms of Visiting Friend and Relatives tourism, this topic is more significant for (SIDS). A tourism demand model considers the regional differences of ten island states. The result shows that migrants generate tourism demand. This result, therefore, indicates that migrants should be considered one of the possibilities for generating tourism demand.

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 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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.036
GPT teacher head0.289
Teacher spread0.253 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations12
Published2019
Admission routes2
Has abstractyes

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