Intertextual Dialogue in the British Postmodern Novels: On the basis of Peter Ackroyd’s Novels
Bibliographic record
Abstract
The peculiarities of intertextual dialogue in the postmodernist novel in Britain are investigated in the article. Literary-theoretical matters of intertextuality were clarified and commented on its reflection as a form of dialogue in literature. The intertextual dialogue’s functions were analyzed on the postmodernist novel as “The house of Doctor Dee”, “The Lambs of London”, “The Casebook of Victor Frankenstein” by Peter Ackroyd, the British writer. The reminiscences, allusions, quotations, and aphorisms used in the novels in a fact form the skeleton of the works and is the means to show heroes’ characteristic features. P. Ackroyd presenting intertextual dialogue with the parallel commentary in the development of events “settles” them in certain cultural paradigms. So the writer makes open the structure of the postmodernist novel and opens the way for many interpretations.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.029 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".