Bibliographic record
Abstract
ADAPTING THE TEMPEST: JULIE TAYMOR'S REVELS Adaptations and appropriations of Shakespeare's plays demonstrate the unending life of a series of canonical texts that still invite numerous forms of interpretation. Simultaneously, they also offer a tool for the (re)interpretation of the English playwright's works. This is definitely the case of Julie Taymor's recent film The Tempest (2010), which partially alters the structure of Shakespeare's last solo play, but also actively engages with the academic debates on the work's thematic concerns. Nevertheless, Taymor's film could be seen as faithful to the original source and as fully realizing on the screen its fantastic elements, especially through the use of the special effects. Taymor's The Tempest utilizes the original heightened language of the seventeenth century - which certainly gratifies those spectators that enjoy what Stephen Greenblatt has defined as Shakespeare's "infinite delight in language"(1) - and maintains the main dialogues of the original...
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".