Islands of connectivity: Archipelago relationality and transport infrastructure in Venice Lagoon
Bibliographic record
Abstract
Researchers are increasingly turning to relational approaches to island geography, with special emphasis being placed on archipelagos and land–sea interactions. Islands nevertheless continue to be associated with isolation, peripherality and/or disconnectedness, and fixed links such as bridges and causeways continue to be regarded as factors that decrease the quality of islandness. This does not, however, take into account the diversity of island spatialities and islands’ various positions within centre–periphery relationships. This paper sheds light on the complexity of island and archipelago connectivities by considering the transport infrastructure (bridges, boats, channels, harbours, canals, roadways) and relationships between, within and among the numerous islands of Venice Lagoon, Italy. The paper argues that island communities face diverse sets of challenges, and there is no single connectivity‐enhancing solution that is applicable to all islands. It furthermore argues that instead of seeing fixed links and intense connectivity as reducing a place's islandness, we should see them as altering the way in which a place's islandness is practised.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".