Bibliographic record
Abstract
La compréhension des états mentaux est un élément fondamental de la plupart des psychothérapies. Nous présentons dans ce travail une méthode originale, appelée micro-analyse, dont l’objectif est de préciser la description et la modélisation des états mentaux dans le cadre des psychothérapies psychanalytiques. Cette méthode reprend les principes de l’analyse cognitive et permet de préciser le vécu phénoménologique du patient à partir d’une forme d’associativité focalisée qui favorise le travail d’explicitation de l’expérience subjective. Après avoir décrit les principaux éléments méthodologiques relatifs à la micro-analyse, nous développons dans les grandes lignes son utilisation dans le cadre des psychothérapies psychanalytiques. L’expérience du sujet semble alors décondensée, ce qui favorise également sa transformabilité. La micro-analyse améliore ainsi la compréhension du déroulé subjectif du patient, s’agissant d’une voie prometteuse concernant la modélisation de l’expérience subjective à la rencontre entre modèles psychanalytiques et neurosciences cognitives.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.918 | 0.895 |
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; the direct Gemma label and the distilled Codex classifier 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".