Islandness of Sveti Stefan: A Collection of Particular Manifestations Through Time
Bibliographic record
Abstract
Sveti Stefan, a tiny Montenegrin island with a rich historical and cultural background, remains underexplored in academic research. Considering its physicality (shaped by nature and human intervention), circumstances that determined and directed its development (its settlement foundation from a seized Turkish treasure, its role as a small capital for surrounding villages, its gradual abandonment, its radical transformation into a luxury hotel), and its social structure (the original islanders later replaced by seasonal tourists), the paper investigates the islandness of Sveti Stefan, acknowledging both its literal and metaphorical meanings. Through a case study and literature analysis, combining theorization on islands and islandness with documentation on Sveti Stefan, this research explores the change of islandness of a particular place over time, as well as the contradictory nature of different manifestations of islandness, depending on external circumstances. The differentiation between general islandness and particular islandness—the former is seen as a shared potential among islands, the latter as a time-bound collection of qualities specific to each island—tends to reconcile the opposing sides of islandness manifestations and justify their coexistence. Susceptible to further change and redefinition, the islandness of Sveti Stefan represents a collection of every particular islandness that has manifested through time as an accomplished expression of general islandness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 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".