Bibliographic record
Abstract
Charles I's nephew, Prince Rupert of the Rhine, was a famed warrior who won hardly any battles on land or sea. Beloved by his men for his death-defying courage and his high sense of military honour, he was nonetheless a bad-tempered and arrogant leader. His defects of character became more accentuated with age. Yet he remains one of the most romantic figures in English history, admired for his reckless cavalry charges, and his equally reckless naval charges against the much stronger Parliamentary, and later Dutch, fleets. In this well-written, sympathetic biography, Charles Spencer makes it easy to understand Rupert's perennial popularity, while treading lightly on the prince's shortcomings. If anyone deserved the title of true Renaissance prince it was Rupert. Raised in difficult circumstances by an idle father (Frederick V, the elector Palatine) and a negligent mother (Elizabeth of Bohemia), he achieved distinction as one of the most educated warriors of seventeenth-century Europe, as well as a scientist, inventor, artist and scholar. Of his sense of honour there can be no doubt. Spencer rightly vindicates him against Roundhead allegations of plunder, rapine and massacre at Cirencester, Birmingham and Bolton in the 1640s. He also shows that Rupert repeatedly valued his own life less than those of his men. In the assault on Breda in 1637 he was assigned a secondary role in order to protect his life. But he ignored the order and joined the storming party, being one of the first to breach the fort's walls. On another occasion in the West Indies, when his men were reduced to living on four ounces of bread per day, Rupert insisted on sharing the same diet. It was actions like this that won him the undying loyalty of his men.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".