Bibliographic record
Abstract
Un écrivain n’est sans doute jamais assimilable à une nation, que ce soit sa nation d’origine ou d’adoption. Sa patrie, c’est d’abord l’écriture ; et un vœu tacite de nomadisme lui est inséparable. L’exil est la condition même du langage romanesque et poétique et il serait vain de vouloir démêler la part du destin et de la liberté qui se joue dans la vie d’un écrivain : n’est-il pas, comme par vocation, toujours à l’œuvre au cours d’un inlassable exode ? Ici ou là, aussi simple et familier qu’il soit, la hantise de l’écriture le met à part des liens du sol et du sang. Un beau symbole de cette étrangeté irréductible nous est donné par le dernier recueil de François Cheng, Échos du silence (Créaphis, 2018). Ce livre a le format d’un passeport et vient en contrepoint de photographies en noir et blanc du fleuve Saint-Laurent au Québec. C’est un autre pays que la France ou la Chine, c’est l’arrière-pays de l’écriture.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".