Matters of the Heart: The Poetics of Trauma in Harold Pinter’s <i>Ashes to Ashes</i>
Bibliographic record
Abstract
Harold Pinter’s Ashes to Ashes, comprising an extended dialogue between two protagonists, Rebecca and Devlin, repeatedly returns to a “guide” who steals babies from their mothers at a railway station. This image has led Pinter scholars to interpret the play as a representation of the Shoah and its impact on Pinter’s life. However, during the play’s conclusion, Rebecca assumes the position of one of the mothers and, while ventriloquizing her, disavows the existence of her child at the very moment when another woman asks her to confirm the infant’s whereabouts. Rather than maintaining the customary position that Ashes to Ashes represents a specific historical atrocity, I read the play’s engagement with trauma through the figure of this abducted, but ultimately disowned, infant. Specifically, I attend to how the infant’s disappearance informs the poetic qualities of Ashes to Ashes as its heartbeat figures prominently throughout the play, resonates in its dialogue, and organizes its rhythmic structure. By examining how these poetic features situate Rebecca’s mode of listening as an exemplary ethico-political response to suffering, I propose an alternative to the interpretation of Pinter’s use of dramatic speech in terms of referentiality or language games.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".