Bibliographic record
Abstract
This essay argues that Don DeLillo's novel Cosmopolis (2003) provides a cognitive map of the fraught networks of strategic relations among cybercapitalism, biopolitics, terrorism, and identity formation in an ‘experience-book' (to use Foucault's expression), which sets in motion altered forms of knowledge co-production with its reader – and thus answers Fredric Jameson's call for a new aesthetics able to counter late capitalism. Not only a set of technological operations, communications networks, and economic relations, cybercapitalism is also a complex assemblage or dispositif comprising lines of visibility and enunciation (in ‘impersonal and pre-individualized fields of possibilities'), lines of force (drawing in biopolitical relations of racism, sexism, and war), as well as lines of identification and subjectivization. To map this way of life and death, DeLillo's novel adopts the overall strategy of governmentality, proceeding through a ‘tricky combination' of mechanisms of totalization and individualization, which make the characters both embodiments of the globalizing forces of cybercapitalism, and particular instantiations of desires and ambitions. Part one examines how DeLillo's novel diagrams the cybercapitalist dispositif; part two enfolds this analysis into formal matters shaping the dynamics of a text becoming other than itself, to sketch altered ethical relations with the reader.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".