Bibliographic record
Abstract
Abstract This final chapter triangulates the drama of Paul’s shipwreck off Malta and three-month contact with the islanders (Acts 27–8) with William Strachey’s structurally derived report of the wreck of the Sea Venture on Bermuda as resources for Shakespeare’s creation of Prospero’s shipwrecks and his island encounter with Caliban. The latter’s environmental personhood, I argue, is the pre-colonial foundation of his linguistic and bodily resistance to Prospero and Miranda’s ‘salvaging’ programme of Humanist re-education. I open these intertextual connections by analysing a visual narrative of Paul’s Maltese shipwreck in Abraham Ortelius’s map of his Mediterranean journeys. I then explore how Paul’s encounters with the native Maltese provided him and his company with life-saving hospitality. But uniquely in the miracle narrative of Acts, the Maltese are not converted. Similarly under-examined in Strachey’s report are his detailed observations of Bermuda’s biodiversity. They became a resource for Shakespeare’s biogeographical conception of Caliban’s island, and in turn for Caliban’s spontaneously humane hospitality to the Italian castaways, which Prospero and Miranda later betray with colonial enslavement. After Prospero becomes conscious of the anarchic passions of revenge, he seems partly to acknowledge Caliban’s ‘salvaging’ bio-spirituality, as well as the ‘darkness’ of trying to extinguish it, in his divided Epilogue. I conclude by briefly speculating about Caliban’s ‘hereafters’ as a racialized slave or servant in mainland Europe.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".