Bibliographic record
Abstract
« Je, tu, nous, vous » est extrait du poème Keine Delikatessen d’Ingeborg Bachmann sur lequel sont construites en partie les « Résonances » de Luigi Nono (Risonanze erranti, 1985-87). Le compositeur, qui a rencontré l’écrivaine à plusieurs reprises, évoque ici les fragments interrogatifs de cette dernière poésie dans laquelle elle questionne l’acte d’écriture. « Devrai-je faire prisonnière une pensée, la conduire dans la cellule éclairée d’une phrase ? […] Faudra-t-il […] déchirer le papier […] détruisant ainsi : je, tu, il, elle, ça, nous, vous ? ». Le poème, mis en résonance avec l’écriture de Herman Melville (essentiellement Battlepieces and Aspects of the War) ainsi qu’avec les « échos » textuels et musicaux de Machaut, Desprez et Ockeghem, explore la nature de l’articulation entre pensée et écriture, entre individu et société ou soi et autrui, l’identité et le rôle complexe de l’artiste dans une société habitée par la violence, les rapports de domination et la guerre.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".