Bibliographic record
Abstract
In the Folio text of King Lear , Cordelia’s reemergence onto the stage— and into the action of the play—occurs at the head of the French army: “Enter with drum and colours, Cordelia, Gentleman, and Soldiers” (4.3.0). 1 According to Alan Dessen and Leslie Thomson’s A Dictionary of Stage Directions in English Drama, 1580–1642 , the items “drum and colours” usually indicate “readiness for battle and are part of a show of power.” 2 As Cordelia’s exchange with the Messenger in this scene suggests, such a military context is fitting: the Messenger arrives with news that “The British powers are marching hitherward” (4.3.21), to which Cordelia replies, “Tis known before. Our preparation stands / In expectation of them” (4.3.22–23), suggesting that the soldiers she has led on stage are an indication of her readiness to battle her sisters’ armies. Given this preparation for battle, this show of power, and Cordelia’s position at the head of her army, it seems not unlikely that Cordelia herself appears in armor. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 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".