Bibliographic record
Abstract
This article draws on the dialogue between puppetry and applied drama that arose from the AHRC Objects with Objectives Research Network in 2017–18 to explore a tentative theory of applied puppetry. A range of theoretical approaches to applied drama are examined in the light of practical examples of applied puppetry using case studies from Northern Ireland, South Africa and Australia. Morton (2013) highlights how, in performance ‘tension between the material puppet and the imagined puppet’ gives rise to a kind of ‘double vision’ (Tillis 1992), a concept that the article considers alongside Gallagher’s (2005) distinction between body image and body schema, Brecht’s (1974) V-effekt , Meyerhold’s (1998) distinction between the materiality and agency of the actor and Boal’s (1992) idea of metaxis. The article concludes that the distancing and conductive qualities of applied puppetry often work in parallel and that the puppet can be seen as the site of metaxis when used in an applied context.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".