In the dead time: The unfacilitated encounters among participants of the Oberammergau Passion Play
Bibliographic record
Abstract
The 2022 Oberammergau Passion Play – a giant applied theatre project with almost 2000 participants, running for 110 performances over five months with a run time of over 5 hours – provides an opportunity to study how community participants use applied theatre’s ‘dead time’: the unstructured, unfacilitated time between onstage appearances. This study argues that in the tight spaces backstage, participants talk, play and engage in acts of care and mentorship, imbuing the dead time with tremendous social value. In fact, much to the initial surprise of the authors, most participants described their interest in the project as being primarily anchored in this dead time, rather than the staged action. These findings leave us with many salient questions for the field of applied theatre, and more research will be needed across varying contexts to better understand how to mitigate the social risks of dead time while invigorating its community-building potential.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".