Bibliographic record
Abstract
On 3 July 1866, even as Emperor Napoleon III made plans to dispatch an envoy to Prussian royal headquarters to urge restraint, a quarter of a million Prussian troops under the command of General Helmuth von Moltke smashed the Austrian army at the battle of Königgrätz. In just three weeks of fighting, Moltke had invaded the Austrian province of Bohemia, encircled Prague, and punched the Habsburg army into a loop of the Elbe river between the Austrian fortress of Königgrätz and the little village of Sadova. There Moltke nearly annihilated the Austrians, killing, wounding, or capturing 44,000 of them and putting the rest – 196,000 largely disbanded stragglers – to panic-stricken flight. Königgrätz was a turning-point in history. Prussia's fifty-one-year-old prime minister – Count Otto von Bismarck – watched the battle at Moltke's side and offered the Austrians terms, when the extent of their defeat was fully comprehended in Vienna and elsewhere. In exchange for an armistice, Emperor Franz Joseph of Austria duly surrendered the authority his Habsburg dynasty had exercised in Germany since the sixteenth century, first through the Holy Roman Empire, then through the German Confederation, and gave the Prussians a free hand. Bismarck was quick to exploit it. In the weeks after Königgrätz, he abolished the thirty-nine-state German Confederation established in 1815 and annexed most of its northern members: Schleswig, Holstein, Hanover, Hessia-Kassel, Nassau, and Frankfurt-am-Main.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".