The genre of islands: Popular fiction and performative geographies
Bibliographic record
Abstract
To date, studies of the contribution literature makes to ideas about islands have concentrated on “high” literature. This has left unexamined the largest proportion of literature featuring islands. If one of the goals of island studies is to interrogate prevailing ideas about “islandness,” then the islands that crowd the storyworlds of popular genres merit close attention. This article focuses on popular fiction to advocate “performative geographies” as a key concept for island studies of literature, and indeed other domains of culture. Popular genres are undeniably sources of distraction and entertainment for billions of readers. However, they are also systems of meaning, which have an immeasurable impact on our geographical awareness and imagination. This article uses critical snapshots of Anglophone island-set crime fiction and popular romance fiction to show the meta-geographical potential of popular novels as they both depict and reflect on islands as performative geographies, or spaces that make and unmake individual and social identities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; a candidate call from one teacher head, 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".