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Record W2969955875 · doi:10.24043/isj.95

Tourism, smallness and insularity: A suitable combination for quality of life in Small Island Developing States (SIDS)?

2019· article· en· W2969955875 on OpenAlexvenueno aff
Miguel Puig-Cabrera, Concepción Foronda Robles

Bibliographic record

VenueIsland Studies Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsTourismSmall Island Developing StatesGeographyDevelopment economicsPolitical scienceEconomic growthEconomic geographyEconomicsClimate changeArchaeologyGeology

Abstract

fetched live from OpenAlex

As Small Island Developing States (SIDS) turn into a focus of attention for tourists and foreign investment, tourism becomes one of the primary sources of wealth in these economies. This increasing relevance of tourism in SIDS in turn becomes an opportunity not only to enhance the residents' quality of life but also to combat the existing vulnerabilities of SIDS. The main goal of this research is to measure the effects of tourism on the quality of life of residents in SIDS according to: 1) the degree of tourism development, 2) the allocation of public and private resources to promote the tourism sector, and 3) the direct opportunities that tourism offers to the populations in SIDS. In order to do so, an empirical analysis has been carried out based on a panel database containing data from 28 SIDS during the period 2005-2016. The findings suggest that tourism development becomes a driving force for enhancing the residents' quality of life. It is also proven that government expenditure has a positive effect on the population, with a repercussion four times greater than that of private investment. Finally, work precarity appears to be a reality in SIDS.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.070
GPT teacher head0.348
Teacher spread0.278 · 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.

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

Citations9
Published2019
Admission routes1
Has abstractyes

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