Quand le corps réduit au silence répond : traumatismes, contre-mélodies et « objets voix » dans la pièce Krapp’s Last Tape1
Bibliographic record
Abstract
Krapp’s Last Tape(La dernière bande) de Beckett soulève la question de ce qu’il advient de la voix silencieuse du traumatisme si on l’enregistre. En silence, nous « entendons » les échos post-traumatiques et les contre-mélodies du corps traumatisé de Krapp – une réverbération somatique et technologiquement médiatisée que Mladen Dolar appelle l’« objet voix ». La voix émanant du magnétophone prend la fonction curative du thérapeute qui fixe en silence son patient traumatisé, l’incitant à entrer dans un débat avec la reconstitution viscérale de son traumatisme. Les objets voix enregistrés de Krapp, comme son rire, sa toux et ses silences, sont des avatars d’une contre-mélodie; ils servent d’ancre réconfortante et rendent sa blessure plus accessible.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".