HARTMANN, Wilfried, SCHMITZ, Gerhard, Fortschritt durch Fälschungen ? Ursprung, Gestalt und Wirkungen der pseudoisidorischen Fälschungen. Beiträge zur gleichnamigen Symposium an der Universität Tübingen vom 27. und 28. Juli 2001
Bibliographic record
Abstract
Comme le rappellent les éditeurs en introduction, l’organisation à Tübingen d’une rencontre consacrée aux Faux pseudo-isidoriens s’inscrivait dans une longue tradition de recherche illustrée depuis le XIXe s. par plusieurs canonistes dont Johann Adam Möhler, Carl Josef Hefele ou encore Johannes Haller. Mais ce colloque tenait aussi à rendre hommage à Horst Fuhrmann, qui y fut professeur entre 1962 et 1972, alors qu’il préparait son étude magistrale de la constitution de ce corpus de faux, de ...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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; both teacher heads agree on what is shown here.
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".