Bibliographic record
Abstract
L’écho ne se contente pas de reproduire ce qu’il entend comme le souligne la tradition latine. Figure d’Écho, l’écho fait tout ce qu’il peut pour refuser la transparence et la neutralité. Il se venge de la malédiction qu’il porte en altérant tout ce qu’il touche. Sa vengeance est l’expression de son existence. Mais, au-delà de l’écho, c’est toute la question de ces expressions et formes qui vivent en retrait et en attente qui est posée ; la question du suiveur : « qui me précède ? » ; la question de l’ombre : « suis-je une ressemblance ? » ; la question du miroir : « quelle image dois-je renvoyer ? ». La figure de l’écho offre ainsi l’occasion de s’interroger sur la guerre que se livrent l’original et la copie tout en se demandant si l’existence d’un énoncé sans origine est envisageable. À cette question, l’écho répond par la seule arme en sa possession : l’altération. C’est toute la question de la neutralité de l’écho que nous poserons en réfléchissant sur l’altération que la voix d’Écho profère.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.027 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".