Bibliographic record
Abstract
The Introduction opens with a close reading of information proliferation and human–machine interfaces in James Joyce’s Ulysses to establish these themes as central to the book’s exploration of the emergent early-twentieth-century phenomenon Love labels “cybernetic thinking.” She traces biographical and intellectual connections between T. S. Eliot and Norbert Wiener (the “father of cybernetics”), provides an overview of the field of cybernetics and its definitional challenges, and proposes that a reconsideration of cybernetics’s cultural lineage – as evident in experimental modernist texts – will contribute a valuable new dimension to our understanding of both modernism and cybernetics. Eve Kosofsky Sedgwick and Adam Frank’s notion of the “cybernetic fold” is redeployed to describe the rich openness to data-processing-possibility that emerges during these decades, when high-speed computing is imaginable but not yet technologically realized. After contextualizing the project within existing media- and modernist-studies conversations, the Introduction culminates with a close reading of Wiener’s cybernetic approach to information that links his perspective on technical innovation to modernist aesthetics.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.369 | 0.221 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".