Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Les six pièces retenues pour cet article mettent en scène des figures d’écrivains montrées sous divers angles biographiques : Gustave Flaubert, Emily Dickinson, Laure Conan, Léon Tolstoï, Jean-Paul Sartre et Eugene O’Neill y deviennent des personnages qui rejouent un aspect ou l’autre de leur vie et de leur oeuvre. Sollicitant à la fois le factuel et l’imaginaire, ces productions déploient le matériau biographique à la faveur de transpositions stylistiques, génériques, temporelles, géographiques qui, loin de reconduire le mythe, convient plutôt à sa relecture. Si les tonalités peuvent varier — de la poétisation à la parodie, de la fantaisie à l’appropriation autobiographique, du festif au tragique —, la forme théâtrale est toujours garante d’une actualisation, et c’est là sa spécificité en regard d’autres biographies littéraires, qui donne à voir, au présent, la réalité et son interprétation.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it