Bibliographic record
Abstract
Cet article explore le rôle de la littérature dans la posture psychiatrique. Les récits autofictionnels de Marie-Sissi Labrèche, Borderline, et de Michelle Lapierre-Dallaire, Y-avait-il des limites si oui je les ai franchies c’était par amour ok , montrent qu’une « attention à la langue, au délire, [et] à la création » (McDuff 2024 : 5) amène de nouvelles dimensions à une rencontre clinique. Dans cette magnifique « dilatation » et « densification » (McDuff 2024 : 7) que permet l’utilisation d’un langage littéraire, le ou la psychiatre se porte davantage à l’écoute de l’autre. Or, un travail de traduction entre les langages littéraire et biomédical devient nécessaire, et un dilemme par rapport à l’authenticité de son discours se pose. Existentiellement, nous sommes variablement tous impliqués dans cette quête de l’expression par le langage ; vouloir dire, dire bien, justement, pour réparer, honorer ou apaiser. Chercher et trouver ses mots, c’est un peu chercher et trouver l’autre.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".