Kaspar Hauser Appears in Nuremberg
Bibliographic record
Abstract
The city in which the drama of Kaspar Hauser unfolded had a rich and proud history. In 1471 the astronomer Johannes Müller (Regiomontanus) flattered the city fathers by proclaiming the city to be the centre of Europe.1 As a sign of its wealth and sense of civic responsibility Nuremberg was one of the first cities in Europe to boast a public library which was opened in the early sixteenth century. Henry IV of France’s brilliant financial councillor Maximilien de Béthune, Duc de Sully, while in retirement after the assassination of his royal master dreamt up a fantastic scheme for the peace of Europe. Fifteen regions were to be created with six regional councils. Nuremberg was to be the seat of the German body.2 By 1828 such schemes would have seemed even more preposterous and the city had yet to adjust fully to its new and inferior position within the German Confederation. On 15 September 1806 at ten in the morning the French plenipotentiary Friron handed over the imperial city of Nuremberg to the Bavarian commissioner Count Thürnheim in an impressive ceremony. Cannons roared, church bells rang, French soldiers and the Nuremberg militia paraded through the streets as the decision of the Act of Confederation of the Rhine was formally acknowledged. The patricians of the city were appalled. The wife of the prominent businessman Paul Wolfgang Merkel burst into tears and told her bemused children that they were now the slaves of princes.3
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.204 | 0.102 |
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".