L’interview de Neige Sinno à propos de Triste tigre, « The Powers of Literature »
Bibliographic record
Abstract
Ce compte rendu présente l’entretien intitulé « The Powers of Literature », donné par Neige Sinno le 7 avril 2025 à Duke University, à l’occasion de la traduction anglaise de son livre Triste tigre. Au fil de la discussion, animée par Anne-Gaëlle Saliot, l’autrice revient sur les enjeux littéraires, éthiques et politiques de son œuvre, marquée par l’expérience du viol incestueux. Elle évoque sa démarche d’écriture comme un acte de résistance, la place centrale de la lecture dans sa formation intellectuelle, la complexité du témoignage face au trauma, et les limites du langage pour dire l’indicible. L’entretien met en lumière une pensée incarnée et une ambition littéraire affirmée, où la création devient un moyen de transformation du réel et de réappropriation de la parole.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".