Adrian Shubert. <i>The Sword of Luchana: Baldomero Espartero and the Making of Modern Spain, 1793–1879</i>.
Bibliographic record
Abstract
Based in large part on never-before-seen private papers provided by the descendants of Baldomero Espartero, this book provides new insights into one of nineteenth-century Europe’s most intriguing public figures. Espartero ascended to the highest positions of power in the Spanish military and government. Along the way, he received popular acclaim and notoriety as well as requisite titles of nobility, his most noteworthy being the Count of Luchana and the Duke of Victory. A diachronic narrative history, The Sword of Luchana explores themes of national identity, gender, and historical memory. Shubert is at his best in humanizing his subject matter, although he admits that “we do not know what [Espartero] sought to achieve, beyond sustaining the monarchy” (14). He poses a crucial question by way of a conclusion: why was a general, renowned for having worked tirelessly for peace and reconciliation, virtually forgotten in modern Spain? The story of Espartero’s fame and rise to power is juxtaposed against the fact that he remains “essentially orphaned” today, with his scant recognition tinged by controversy in the revanchist Basque Country and Catalonia (352).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".