LIMITE unbound: François Bon’s digitalized fiction and the reinvention of the book
Bibliographic record
Abstract
Since 2005, François Bon, who began his literary career in the 1980s as a novelist, has gradually shifted the focus of his work onto his now allencompassing web-based literary and multimedia œuvre, tierslivre.net. As part of this transition from paper to web, Bon returned to his printed books to showcase them digitally. Most notably, in 2010 he undertook to retype his second novel, Limite (1985), to publish it in the form of a blog, prefacing each passage with an autobiographical and critical commentary. Once completed, he reedited the full commented text as an e-book. This article argues that even though all three versions have the same narrative at their core, each stage of this project offers something different to the reader and suggests a different focus and conception of literature. Together they illustrate that the shifts between media change the reading experience even without exploiting much of the potential for hyperlinking and interactivity, and that before and beyond all the possible narrative experiments it enables, the digital transition means for literature a move away from the logic of the book towards the ‘logic of the project’.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.026 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".