The Roundabout at the Edge of the World: Subsea Tunnels, the Sea and the Islands
Bibliographic record
Abstract
This paper is based on the thesis that there is a ‘sea change’ in the Faroe Islands (Faroes) of the twenty-first century, and that this multi-layered transformation in more than a symbolic understanding is brought about by the sea. Submarine space is being appropriated in futuristic infrastructure projects continentalising the Nordic Atlantic society. The relationship between the world above and the world below the sea is reconfigured, and the new vertical landscape gives us the opportunity to reassess images of island communities and ask the question: what is an island? The resurgence of the aquatic space in the lives of the islanders, soaking their cultural identities, is explored through the landscape of roads and tunnels in the Faroe Islands, with special focus on the subsea roundabout between the islands of Eysturoy and Streymoy. The paper argues that the tunnels not only connect previously separated islands, and centre with periphery, but also represent an avenue to a new water-land symbiosis in society. Life might be dryer than it was in the old days, but water continues to be the main source of cultural imagination, wealth, health, and futurity among island dwellers. Drawing on anthropological island studies, this paper represents an island perspective on what it means to conquer the sea-land frontier and to build a future through underground passageways.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".