Bibliographic record
Abstract
Si la liste des huit mauvaises pensées des moines du désert (Évagre) devient vers la fin de l’Antiquité ou au début du Moyen Âge la liste des sept péchés capitaux (pape Grégoire le Grand), les Réformes déplacent le curseur concernant les péchés du pluriel vers le singulier : vers le péché. Les péchés capitaux, dont la paresse, pointent vers un état de rupture relationnelle avec Dieu ou d’aliénation, pour reprendre Paul Tillich dans sa Théologie systématique. Mais les bouleversements engendrés par la modernité n’ont-ils pas contribué à un oubli des péchés capitaux en faveur d’une réappropriation plus séculière de ces thèmes anthropologico-théologiques ? En effet, la « paresse » sous certains de ces accents ne pourrait-elle pas devenir, dans un siècle particulièrement marqué par la vitesse et l’instantanéité, un contrepoids pour garder un équilibre et éviter ainsi une déshumanisation, voire une zombification de notre humanité ?
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".