Inter- and Extra-textual Hauntings: Unravelling the Semantic Web of Václav Havel’s <i>Leaving</i>
Bibliographic record
Abstract
Leaving (2007), the first play written by Václav Havel since the start of his political career in 1989, is a theatrical tour de force that categorically defies generic classification. In this article Katie Fry draws on methodologies of theatre semiotics and intertextuality to elucidate the semantic complexity of Havel’s highly unconventional play. Leaving is analyzed in terms of its engagement with intertexts, its incorporation of ‘real-life’ material from Havel’s political and artistic careers, and its subversion of theatrical conventions. Katie Fry is a PhD Candidate at the Centre for Comparative Literature, University of Toronto. She has worked as a translator and dramaturg for independent theatre projects in Madrid and Toronto. Her dissertation project examines the attribution of religious import to theatre, opera, and literature in nineteenth- and early twentieth-century Europe. She holds a doctoral fellowship from the Social Sciences and Humanities Research Council of Canada.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".