Bibliographic record
Abstract
Résumé Baudelaire, prédisant notre « ruine universelle », déclarait platement: « le monde va finir »; Duras jugeait que la seule politique du monde était qu’il « aille à sa perte »; Houellebecq, titre après titre, poursuit l’examen d’un anéantissement jugé irréversible. Des jérémiades du poète face à la catastrophe imminente aux imprécations du chroniqueur réactionnaire et paniqué face à un présent décadent où se devine déjà la fin, du romancier dystopique en passant par le mélancolique ressassant les révolutions perdues et contemplant un avenir sans horizon qui chante, la littérature regorge de prophètes de malheur. Nombreux et nombreuses sont ceux et celles qui, depuis deux siècles, se sont voulus Cassandre et ont fait de leur œuvre le lieu de prédictions diverses sur l’avenir incertain du monde—et souvent, du même geste, celui de la littérature. C’est à eux que ce numéro de Romanic Review est consacré.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".