Bibliographic record
Abstract
Early on in the second act of Waiting for Godot, Estragon, a dog-eared Beckett bum who claims to have once been a poet (“Isn't that obvious?”[9]), expresses considerable dismay at the un-“inspiring prospects” of what can only be described as a minimalist's scène à faire: “Recognize! What is there to recognize? All my lousy life I've crawled about in the mud! And you talk to me about scenery! (Looking wildly about him.) Look at this muckheap! … You and your landscapes!” (39). Though the intrepid Vladimir urges him to “calm” himself by staying the course, critics of the play have, by and large, come round to Gogo's assessment of his unenviable situation in this empty performance space. “A country road. A tree. Evening,” the famous stage direction that sets the outdoor scene on a spare platform never dressed quite the same way before (3), would give even a visionary director like Peter Brook more than a moment's pause (as it did so, indeed; witness his landmark productions of King Lear and A Midsummer Night's Dream for the Royal Shakespeare Company, each in its own way an energetic response to the new Godot scenography, the former with a menacing touch of Endgame in the air). In Beckett's play, there's a tree, of course, with – lest we forget – its well-placed leaves added surreptitiously by a conscientious stagehand during the interval separating the not quite equally paced two acts. There's a bit more to it than that, too: a mound, a pair (or two) of shoes that don't quite fit; a radish, black; a supply of turnips; and one never-to-be-forgotten carrot that turns out to taste, well, like a carrot. Yet in comparison to Ibsen, one would have to admit, there's not a lot here to write home about. “The only thing I'm sure of,” the playwright said of his players, reduced as they are to such a decrepit stage reality, “is that they’re wearing bowler hats” (qtd. in Brater, Why Beckett 62).
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.048 |
| Scholarly communication | 0.023 | 0.027 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".