Bibliographic record
Abstract
Dans cette interview, Annick de Souzenelle raconte comment elle s’est lancée dans la traque du « message contenu dans la maladie » à travers la relecture des textes bibliques dans leur dimension symbolique. Elle montre comment sa découverte de correspondances étonnantes entre le schéma du corps humain et l’Arbre de Vie des Kabbalistes l’a poussée à décrypter la souffrance comme une ardente et conflictuelle « percée de l’être ». S’écartant du dualisme entre le « Bien » et le « Mal », le corps et l’esprit, cette ex-psychothérapeute préfère parler d’« accompli » et d’ « inaccompli ». Elle prend notamment exemple sur les textes de la Genèse et le sacrifice d’Isaac, pour étayer sa conviction personnelle : le chemin de vie de chacun est une « montée de sève de l’arbre de la connaissance qui conduit vers l’accomplissement », ce qui implique que nous soyons véritablement les auteurs de nos vies.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".