Playing With Time: An Analysis of Time and Space in Tom Stoppard’s Rosencrantz and Guildenstern Are Dead
Bibliographic record
Abstract
In this paper I will examine the multiple layers of time within Tom Stoppard’s play, Rosencrantz and Guildenstern Are Dead. Typically, a script plays with two definitions of the term: stage time being that of the audience and the “real world,” and dramatic time, the passing of time within the world of the play and the characters’ lives. Rosencrantz and Guildenstern Are Dead is unique in its multitude of times, each occupying its own space within the story. Hamlet resides in a time that extends beyond that of Rosencrantz and Guildenstern Are Dead, while presenting the same story through different characters. When are these stories presented harmoniously, and when can gaps be found between the two plays in terms of time? In contrast, the play‐within‐a‐play presented in Rosencrantz and Guildenstern Are Dead, titled “The Murder of Gonzago,” represents the story even prior to the opening scene of Hamlet and has an omniscient quality, presenting elements of both Hamlet and Rosencrantz and Guildenstern Are Dead. Though this play‐within‐a‐play represents the longest view of the overlapping stories, it is presented in the shortest amount of time. “The Murder of Gonzago” plays with the limitations of time and space and the acknowledgment of their presentation in theatrical terms. Throughout the paper I will determine the overlapping nature of times within the plays, how they are structured around one another, and what this symbolises for both the spaces of each play and the characters within.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".