Bibliographic record
Abstract
A partir d’une experience clinique d’intervenant en institutions specialisees confrontees a des adolescents violents, je tente de proposer un systeme d’intelligibilite aux reverberations et aux bouclages interactifs que ces sujets suscitent. Dans cette perspective, je developpe les trois propositions suivantes : – ces sujets utilisent le site institutionnel pour deployer une scene archaique de deliaison incorporee qui duplique la pathologie et l’effondrement du conteneur groupal primordial; – les violences et les materiaux psychiques delies, hautement pathogenes, associes a cette catastrophe primordiale sont exportes et implantes dans la psyche des praticiens. Ils vont se loger electivement dans les failles personnelles et groupales de l’equipe institutionnelle, engendrant des mecanismes speculaires et la formation d’alliances inconscientes pathologiques; – la relance d’un processus de symbolisation depend des capacites des equipes a identifier, contenir, elaborer et transformer ces mouvements psychiques specifiques.
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 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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".