Bibliographic record
Abstract
John Doyle's centennial adaptation and direction of Peter Pan for the Oxford Playhouse in December 2004 provides the starting point for a fresh investigation of the play. As Clive Barker has placed the playing of games as central to the training of actors, so Doyle's setting for this production, which never departs from the Darling nursery, places games at the heart of his interpretation of this play about learning to act an adult part. The adult roles in Doyle's production all display a small element of Peter Pan, as their acting style requires them to step in and out of role, to demonstrate the playfulness of their actions, and so to resist growing up. These observations invite a backward glance at the ideological significance of play for late nineteenth-century thinkers about childhood. An exploration of playground and parlour games that formed a common currency of childhood experience during the late Victorian era is set against the documentary evidence of games which Barrie played with the Llewellyn Davies boys, and these in turn are shown to be not just manifest within Peter Pan itself, but also to afford the play a structural and ideological cohesion. Anne Varty is a Senior Lecturer in the English Department at Royal Holloway, University of London, and her monograph Children and Theatre in Victorian Britain will be published later this year.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".