Bibliographic record
Abstract
Is the Earth an island floating in space? The category of 'islands' may seem well defined in geographical terms, yet they are good illustrations of the matryoshka principle. Isolate an island and you quickly find that its status as an island is set in a sequence of other relations. First, islands are often defined from mainland territories, and, in our contemporary world, from states such as Australia or China. These mainland territories can themselves act as islands, or even create empires of islands. Second, most islands sit within archipelagos. For Indigenous peoples, collections of islands count as the centre of the world, 'seas of islands', rather than 'islands in a far sea'. This is to borrow the memorable rendition of Epeli Hau'ofa, one the greatest theorists of island cultures who sought to invert the colonial distancing of islands. 1 While Hau'ofa was describing Pacific islands, his point may also apply to the Maldives or the Andaman islands. Third, the status of being islanded is defined against the globe itself. An island is so because it is surrounded by the waters of the World Ocean and is often conceived of as encircled, for instance, from the deck of a ship in the early modern period, or from the air in our times.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".