Bibliographic record
Abstract
Samuel Beckett wrote Eh Joe for television production in 1965. He wrote this bleak play, for his friend the actor Jack MacGowran. The first production of the play was in Germany at Suddenscher Rundfunk Stuttgart on 13 April 1966, and was directed by Samuel Beckett. In both his novels and plays, Beckett paid special attention to human relationships. In his major plays cruelty is the pivot theme. In Eh Joe, Joe a solitary figure is trying to secure himself in his room in an attempt to run away from Voice who keeps reminding him of his cruelty to the girl who loves him. But the past comes to him in a form of Woman’s Voice to remind him of his selfishness and cruelty. Voice focuses on Joe’s cruelty in his relationships and continues hammering him till the end of the play. In less than fifteen minutes Beckett successfully portrays Joe’s selfishness, indifference and cruelty to women who love him.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".