Attuning storytelling with silence: «The Silent Woman», «The English Patient», and «In the Skin of a Lion»
Bibliographic record
Abstract
This thesis examines how silent mediums of expression in The Silent Woman, The English Patient and In the Skin of Lion widen the breadth of knowledge accessible to readers through storytelling. This study scrutinizes Michael Ondaatje's and Janet Malcolm's self-conscious employment of silent forms of communication in the production of narrative. The texts rely on silent characters and narrators who use nonverbal means of communication to construct stories and histories within the narrative. Furthermore, the texts self-reflexively comment on how readers comprehend silences of and in the text in order to instruct readers on reception strategies for silent narrative devices. Ondaatje and Malcolm point to fallibilities of verbal language that obscure stories and histories. Silent forms of expression transcend fallibilities of verbal language and narrate stories and histories outside of language, thereby shifting the boundaries of the histories and stories that can be told through writing.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".