Ian McEwan’s Atonement: A Virilian Reading
Bibliographic record
Abstract
Paul Virilio is the theorist of speed or “dromology”. In his terminology acceleration is relevant to time and space. Virtualization is also another seminal concept in his theory which is of course essentially related to his conception of time-space. In this essay, we argue that human perception as pertaining to speed-space and light-space as well as the different versions of reality arising out of different ways of body positioning is one of the major themes of Ian McEwan’s Atonement (2001). In McEwan’s novel both architecture and art mislead Briony. Paradoxically, however, Briony also attempts to overcome her trauma through the art of writing in which several versions of reality emerge out of shattered images of the past. The novel foregrounds issues of art, perception, time-space, speed and their interrelations and as such a Virilian reading would be most relevant. 1-2017 (Print) ISSN 1911-2025 (Online) Email: ass@ccsenet.org Copyright © Canadian Center of Science and Education To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders. and lawfulness compared to district 3. In addition, t-test results showed that the aspect of effectiveness has the best condition with a mean of 3.21 and the aspect of participation has an unfavorable condition compared to other aspects with a mean of 2.58.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 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".