Accessibility of Peripheral Regions: Evidence from Aegean Islands (Greece)
Bibliographic record
Abstract
Islands, especially smaller ones, are characterized by discontinuity of space and are considered as some of the least accessible areas. In this paper, we seek to shed light on the accessibility problems that islands face from the point of view of island residents. This shift in emphasis considers additional aspects to accessibility that include the availability of connections to access services required to cover the needs of island residents and the different destinations where these may be available, and the time that one may have to spend to get to these destinations in order to use these services. An alternative measure of accessibility is proposed, based on the time required to travel; this is then applied to three different Greek islands in the Aegean Sea. The accessibility of the residents of these islands to selected services is compared with that of settlements in continental Greece of similar population and distance to the capital Athens. The findings clearly demonstrate the adversities that island residents have to face, especially for smaller islands, where accessing selected services may require as many as four destinations, with virtual distances 4 to 6 times longer than ‘real distances’.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| 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".