Innovación y tecnología: los transbordadores de Torres Quevedo
Bibliographic record
Abstract
Industry initiatives in changing the nineteenth to the twentieth century in the Basque Country are an interesting object of study. But the Innovation and Technology overflow the boundaries of the factories, and move to the cities in areas related to transport and communications, leisure, and improving living conditions. Railways, electricity, cars, photography and cinematography, all is based on Innovation and Technology. A singular example of those years is Leonardo Torres Quevedo and their cable cars. Civil Engineer and closely related to Bilbao, gathers around him the elite of entrepreneurs Bilbao, led by Valentin Gorbena. In 1906 They constitute the «Society of Research and Engineering Works», a venture capital firm, which aims to «study experimentally the projects or inventions that will be presented by Leonardo Torres Quevedo and put them into practice.» Among the most notable achievements include the Mount Ulia cable car in San Sebastian, and the Spanish Aerocar on the Canadian side of Niagara. December 2011 is the 75th anniversary of the deaths of Leonardo Torres Quevedo and Miguel de Unamuno, another distinguished citizen of Bilbao. Also this month has died Leonardo Torres-Quevedo Torres-Quevedo (grandson), who like his father Gonzalo, his grandfather, Leonardo, and his great-grandfather Luis Torres Vildosola has been a notable engineer. This article is a brief tribute to the family saga.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".