Bibliographic record
Abstract
Mathematics represents a conspicuous through-line in Tom Stoppard’s body of work. The allusions to the Riemann hypothesis in the recently produced Leopoldstadt (2020) form a notable bookend with the musings on probability in Rosencrantz & Guildenstern Are Dead (1966) that launched Stoppard’s career. In the intervening decades, the playwright’s ongoing self-education in mathematics surfaces in a series of cleverly staged debates about providence versus free will, the existence of moral absolutes, and the origins of human consciousness. Contrary to expectations, the mathematics in these plays most often serves as a catalyst for the persistence of uncertainty in a rising tide of rationalism. The decision to place a pure mathematician at the centre of Leopoldstadt, an autobiographically-inspired family epic about the Holocaust, reveals the depth of Stoppard’s fondness for mathematics and his faith in its potential to tell human stories. As it has in earlier plays, the mathematics in Leopoldstadt offers a distinctive commentary about the tension between rational order and randomness while also making a quiet case for the perseverance of beauty in the darkest of possible worlds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 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".