Island Transport Challenges: Four Island Jurisdictions; Seven Island Perspectives
Bibliographic record
Abstract
Island transport systems are as unique as the islands themselves, shaped by geography, politics, and community needs. Transport development raises key questions: does increased connectivity enhance or diminish islandness? Can large-scale projects balance economic goals with environmental sustainability and community needs? This special section brings together seven studies from four island jurisdictions to explore how transport configurations influence and redefine islandness. From the transformative role of fixed links in the Faroe Islands to the challenges of seasonal air travel in Akureyri, Iceland, and the extensive ferry networks in Hong Kong, these articles underscore the complexities of island connectivity. A case from Penang, Malaysia, illustrates grassroots resistance to artificial island creation, highlighting tensions between development and conservation. Together, these contributions offer fresh perspectives on the evolving role of transport in shaping island life and identity.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.015 | 0.015 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".