Understanding “Islandness”
Bibliographic record
Abstract
Islandness is a contested concept, not just between disciplines but also cultures, entangled with what islands, island studies, and island identity are understood to be. The purpose of this article is to explore some of these different meanings, without necessarily unifying or reconciling them, with the aim of keeping multiple understandings of islandness in creative tension. We begin by considering islandness as smallness, recognizing that though many entry points into island studies relate to size in some way, what constitutes small is dependent on both context and worldview. Next, we consider islandness as culture, and the concept of island identity, which is expressed in varied forms. Finally, we consider framings of islands as others, and the extent to which contemporary narratives linked to islands are really inherent to islands or not. Ultimately, we conclude that although there is much to be gained from appreciating differing understandings of islandness, these multiple meanings make it critical to reflect on context wherever the term is used, and exercise care in assigning attributes and outcomes to islandness.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.007 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".