Bibliographic record
Abstract
Most contemporary playwrights acknowledge that Shakespeare’s dramas are for use as raw material to be assimilated into contemporary mould, not to be revered strictly as untouchable museum pieces. Being the model of all dramatists, Shakespeare had a great influence on English theatre, his plays are still performed throughout the world, and all kinds of new, experimental work find inspiration in them. This paper investigates the intertextual relationships between William Shakespeare’s King Lear (1606) and Edward Bond’s Lear (1978). The main objective of the paper is to explore the extent to which Bond manages to use Shakespeare’s King Lear as an intertext to convey his contemporary version of Shakespearean classic. Two research questions are tackled here: first, how does Shakespeare’s King Lear function as a point of departure for Bond’s contemporary version? Second, to what extent does Bond deviate from Shakespeare to prove his originality in Lear? The paper reveals that Bond’s manipulation of intertextuality does not mean that he puts his originality aside. He proves his originality by relating the events of the old story to contemporary issues which in turn makes the story keep pace with modern time.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".