'Splendid isolation': Embracing islandness in a global pandemic
Bibliographic record
Abstract
Islandness is often considered to be a disadvantage. However, it has helped the residents of islands to delay, deter, and, in some cases, totally insulate themselves from COVID-19. While islanders have been quick to lock themselves down, this has had a tremendous impact on their connectivity and on tourism, which in many cases is their major economic sector. Yet, the association of islands with being safe, “COVID-19 free” zones has helped these spaces to be among the first destinations to restart the tourism economy once travel restrictions were lifted. After several weeks of lockdown, and with the COVID-19 threat still looming, social distancing remained the norm. Travellers were thus eager to immerse themselves in island environments while avoiding crowds and seeking small accommodation facilities in less densely populated rural areas to limit the risks of infection — a package offered by several islands in the central Mediterranean. With many travellers opting to travel close to home, islands benefited from domestic tourism — a key market segment for islands in this region. Islands have thus performed relatively well in fighting the COVID-19 pandemic and in restarting their economies; but the pandemic has also exposed challenges including a dangerous overreliance on tourism.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".