Critiquing ‘islandness’ as immunity to COVID-19: A case exploration of the Grenada, Carriacou and Petite Martinique archipelago in the Caribbean region
Bibliographic record
Abstract
Can mitigation of the spread and transmission of COVID-19 cases on islands, especially in the Caribbean, be attributed to the fact that they are just that: islands? As the corona crisis escalated in 2020, island authorities initially were able to keep COVID-19 cases low and mitigate their spread by implementing unprecedented actions, foremost among them border closures. However, as the realities of economic stresses surfaced, due to the decline in tourism, especially in the Caribbean, the need to balance COVID-19 spread and economic propriety posed a challenge. In this regard, the corona crisis illuminated spatial notions of islandness: boundedness, smallness, isolation and fragmentation. This perspective essay explores islandness in the context of the actions taken in the case study tri-island state of Grenada, Carriacou and Petite Martinique. Being a tri-island state, the nuances of islandness, experienced in an archipelagic context (an archipelago within the Caribbean archipelago) are emphasized. The paper chronicles the measures, issues and challenges of the case islands during the period between 13 March 2020 and 30 January 2021 and juxtaposes them against other actions in other countries and theories of islandness. It is hoped that this paper will contribute to and champion the field of island studies, especially within the Caribbean region.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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".