The transatlantic experience as a key to upward social mobility: Joaquín Marcos Satrustegui (1817–1885), businessman and diplomat
Bibliographic record
Abstract
How to achieve financial success, security and standing in bourgeois society? The answer in fictional accounts and real life alike was a combination of education, fortitude, hands-on business experience and political influence. Satrustegui‘s biography is the argument: a childhood spent in large part in exile, enlistment in the liberal forces following the outbreak of the First Carlist War and distinguished service as a military attaché as interpreter at the headquarters of the Commander of the British Legion in Spain and participant in negotiations leading to the Convention of Bergara, an agreement signed in 1839 that marked the end of hostilities in the Basque Country. His unfulfilled ambitions would later take him to San Francisco, California where he became a partner in the firm E. Mickle and Company in 1850. Appointed Spanish consul in that city on 2 June 1851, Satrustegui became a founding partner of the López and Company shipping company in 1857. He secured a paid diplomatic position in 1864, the first step in a long career during which he served as Spanish consul in Newcastle, Algiers, Montreal, New York and London. In 1876 he received the title of Baron de Satrustegui.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".