Métamorphose du malheur. Boris Cyrulnik, Les vilains petits canards, Paris, Odile Jacob, 2001, 279 p.
Bibliographic record
Abstract
Boris Cyrulnik, Les vilains petits canards, Paris, Odile Jacob, 2001, 279 p.Si je pensais pouvoir t'aider en te plongeant dans le sommeil pour retarder le moment où tu devras repenser à tout ce que tu as vécu cette nuit, crois bien que je le ferais, dit Dumbledore avec douceur.Mais je sais que ce ne serait pas une bonne chose.Endormir la douleur pendant quelque temps ne la rendra que plus intense lorsque tu la sentiras à nouveau.Tu as fait preuve d'une bravoure qui dépasse tout ce que j'aurais pu attendre de toi et je te demande de montrer encore une fois ton courage.Je voudrais que tu nous racontes ce qui s'est passé.J. K. Rowling, Harry Potter et la coupe de feu Le savant rescapé revient sur les lieux du « fracas » afin de poursuivre l'analyse approfondie du processus de resilience que tout événement traumatique est susceptible de
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.017 |
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".