Bibliographic record
Abstract
I begin my chronology with the creation of Krapp's Last Tape. In 1958, Beckett's translation of Fin de partie was scheduled to premiere at the Royal Court Theatre in London, but, some seventy-five minutes long, it was considered too short to play alone. The theatre's artistic director, George Devine, wished to couple it with A Resounding Tinkle by N.F. Simpson. Beckett, however, preferred to try to compose something himself. At about that time – December, 1957 – Beckett heard Patrick Magee reading from Molloy on the radio, and the musical writer was enchanted by the soft, whispering voice of the Irish actor. In January 1958, Beckett went to the BBC office in Paris to hear Magee more clearly on tape, and in February, he began to write what he at first called the Magee Monologue. Six drafts and three weeks later Beckett sent Krapp's Last Tape to George Devine in London.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.103 | 0.049 |
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".