Bibliographic record
Abstract
Seize volumes, 4000 articles, près de 10 000 pages : l'Enzyklopädie der Neuzeit (EdN) tient d'emblée du monument et s'inscrit, déjà d'un point de vue quantitatif, dans la lignée de deux publications aînées et devenues des références incontournables auprès des historiens germanophones : Der Neue Pauly.Enzyklopädie der Antike et le Lexikon des Mittelalters.La prouesse que représente cette publication est d'autant plus remarquable qu'elle s'est faite en un temps très court : huit ans, à raison de deux volumes par an.Le maître d'œuvre de cette entreprise est l'historien Friedrich Jaeger, chercheur au Kulturwissenschaftliches Institut d'Essen, un Institut d'études avancées commun aux universités de Bochum, de Dortmund et de Duisbourg-Essen, spécialisé dans les sciences humaines et sociales. 2Après avoir examiné les principes guidant l'organisation générale de l'EdN, on se demandera dans quelle mesure cette encyclopédie est un reflet de la pratique de l'histoire en Allemagne. Principes généraux 3
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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".