Bibliographic record
Abstract
Je me penche dans cette article sur le rapport à la nation mis en scène par Robert Musil dans L’homme sans qualités, tel qu’il aurait pu être vécu à la veille de la Grande Guerre en Autriche-Hongrie : un empire déclinant, à cheval entre la nouvelle Europe des États-nations et l’ancienne Europe des empires. En me penchant sur cet aspect du roman, je tente de comprendre les relations divergentes qu’entretiennent deux des personnages envers la nation. L’exercice me permet de mettre de l’avant un portrait romancé du vécu d’individus témoins des transformations politico-administratives européennes au début du 20e siècle. Dans le confort d’un salon, loin des champs de bataille et des assemblées seigneuriales ou législatives, se jouent en toute banalité les derniers instants de vie d’un Empire, dont les principaux acteurs préfère se cantonner à un système impérialiste désuet et impopulaire, plutôt que d’écouter l’appel à l’État-nation du peuple, tel qu’il prévaut ailleurs en Europe.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".