Determinants of tourism flows in Small Island Developing States (SIDS)
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.
Bibliographic record
Abstract
This paper analyses factors affecting arrivals of international tourists into countries denoted as Small Island Developing States (SIDS). These destinations are paired to all potential countries of origin for which the data was available in the UNWTO database for at least one year over the studied period 1995-2014. The dynamic panel data regression techniques within the gravity approach scheme are applied to identify the significance and importance of different factors of international tourist arrivals into SIDS. These factors are subsequently compared in terms of their significance and relevance across the three geographic sub-regions of SIDS. The results show that tourism flows into SIDS are highly persistent. They depend on the accessibility of destinations, tourism infrastructure development, political stability, and levels of economic development of destinations as well as countries of origin. Exchange rate, weather, and language and historical (colonial) links also play significant roles. The regional comparison reveals that the significance and importance of these factors among the three sub- regions vary only modestly.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it