Ein Fund im Archiv der Stadt Dillenburg: Der Lehrerin Helene Köster wird ein "Verhältnis" mit einem "Rassejuden" vorgeworfen
Bibliographic record
Abstract
Ein Fund im Archiv der Stadt Dillenburg: Der Lehrerin Helene Köster wird ein "Verhältnis" mit einem "Rassejuden" vorgeworfen Ein Gastbeitrag von Heinz-Georg Clös, Dillenburg Das Auffinden der Akte über die Lehrerin Helene Köster an der Volksschule in Dillenburg wurde möglich, da dem Verfasser dieser Zeilen vor einigen Jahren die privaten Unterlagen des am 5. August 1943 verstorbenen Schulrats Christian Friedrich Brücker zugänglich gemacht wurden. Diese bestehen zum größten Teil aus Entwürfen...
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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".