Bibliographic record
Abstract
At the onset of one of those outbreaks of antiquarian enthusiasm with which western culture is periodically stricken, a friend confided to Thomas Gray his ambition to write a tragedy with a chorus. The poet's response was not encouraging: A greater liberty in the choice of the fable, and the conduct of it, was the necessary consequence of retrenching the Chorus…The soft effusions of the soul, Mr. Mason, will not bear the presence of a gaping, singing, dancing, moralizing, uninteresting crowd. And not love alone, but every passion is checked and cooled by this fiddling crew…Could Hamlet have met the Ghost, or taken his mother to task in their company? If Othello had said a harsh word to his wife before them , would they not have danced to the window and called the watch? Gray objected to the chorus because he found it unbelievable and, hence, preposterous. Ironically, realism is a significant legacy of Greek art. The development of sculpture from archaic kouroi to Praxitelean naturalism was a manifestation of the same aspiration to realism that led to the separation of the chorus from dramatic action in New Comedy. Western culture absorbed Greco-Roman realism with the Renaissance, applying it relentlessly to drama of all kinds, only countenancing a chorus within the surreal conventions of opera and ballet.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.009 |
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".