Las asociaciones económicas para el corso de los ar madores vascos en el siglo XVII
Bibliographic record
Abstract
espanolLa necesidad de fuertes inversiones previas y la in seguridad de los beneficios llevaron a los armadores vascos a asociarse a fin de preparar emba rcaciones para el corso (al igual que en otras navegaciones tambien arriesgadas, como las pesqueri as de Terranova). En estas sociedades economicas habia una armador principal, que era qui en recibia la patente de corso por parte de la Corona espanola, unos miembros responsables de que se cumpliese la ley (los fiadores) y unos meros inversores. Eran sociedades de comandita simp le euskaraAurretiazko inbertsio handien beharrak eta etekinen ziurtasunik ezak bultzatu zituen euskal armadoreak elkartzera, ontziak itsaslapurretarako p restatzeko helburuz (beste nabigazio arriskutsuetan bezalaxe, Ternuako arrantza adibide) . Elkarte ekonomiko hauetan armadore nagusi bat egon ohi zen, -eta honek jasotzen zuen kotsorako pa tentea Espainiako koroak emanda-, eta legea betetzearen ardura zuten zenbait kide,fidatzaileak eta inbertsore huts zirenak. Komandita soileko elkarteak ziren EnglishAs a result for the need for major investment and t he insecurity of profits, Basque ship-owners often went into partnership to prepare vessels for privat eering (as they did for other hazardous undertakings , such as the Newfoundland fisheries). These compan ies contained a principal ship- owner, who received the Letter of Marque from the S panish Crown, various partners who were responsible for compliance with the law (the guaran tors) and a number of sleeping partners (investors). The companies took the form of limited partnerships
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".