Le Journal d’Eric-Emmanuel Schmitt : traiter le monstre et se faire traiter de monstre
Bibliographic record
Abstract
A partir d’un matériau littéraire, le Journal du roman La Part de l’autre d’E.-E. Schmitt, l’article propose une interrogation du rapatriement de la figure du monstre dans la condition humaine partagée. Les résistances à cette manoeuvre littéraire seront observées et mises en regard du travail de praticiens cliniciens ayant quotidiennement affaire à des monstres. Le concept de « contagion pathique » sera proposé en vue de montrer en quoi le fait même de « traiter » peut conduire à « se faire traiter de »… offrant alors la possibilité de comprendre les résonances réciproques entre les diverses significations d’un verbe qui anime les dispositifs thérapeutiques et se voit conjugué par celles et ceux qui y oeuvrent.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".