Tourism, smallness and insularity: A suitable combination for quality of life in Small Island Developing States (SIDS)?
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".