<i>The Tempest</i> and Its Travels
Bibliographic record
Abstract
Notes on the Editors and Contributors Preface Prologue: 'After Prospero' I. LOCAL KNOWLEDGE 1. 'Baseless Fabric': London as a 'World City' 2. 'Knowing I loved my books': Reading The Tempest Intertextually 3. The Ship Adrift 4. Wild Waters: Hydraulics and the Forces of Nature 5. Trinculo's Indian: American Natives in Shakespeare's England 6. The Enchanted Island: Vicarious Tourism in Restoration Adaptations of The Tempest II. EUROPEAN AND MEDITERRANEAN CROSSROADS 7. The Italy of The Tempest 8. 'The foul witch' and Her 'freckled whelp': Cricean Mutations in the New World 9. Re-Engineering Virgil: The Tempest and the Printed English Aeneid 10. The Mediterranean and Shakespeare's Geopolitical Imagination 11. Carthage and Tunis, The Tempest and Tapestries 12. Island Logic Cesaire's Une tempete at The Gate Otra Tempestad at The Globe Tempest(s) at Terra Nova Theatre Institute III. TRANSATLANTIC ROUTES 13. The Figure of the New World in The Tempest 14. 'This island's mine': Caliban and Native Sovereignty 15. Arielismo and Anthropophagy: The Tempest in Latin America 16. Reading from Elsewhere: George Lamming and the Paradox of Exile 17. Maintaining the State of Emergence/y: Aime Cesaire's Une tempete 18. H.D.'s 'The Tempest' 19. Hogarth and the Canecutter Envoy: 'The Word-In the Beginning' References Further Reading Acknowledgments Photographic Acknowledgements Index
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.333 | 0.158 |
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".