Leonardo Turriano and factory production in Portugal in the first quarter of the 17th century: his contribution to the technological‑military complex of Barcarena (Oeiras), based on documentation and the results of archaeological excavations carried out
Bibliographic record
Abstract
We describe the action taken by the Cremonese Leonardo Turriano (c. 1550‑1629) in Barcarena, between 1618 and 1621/1622, in the scope of gunpowder production, when he designed and supervised the construction of a vast factory building, introducing manufacturing technology using galga mills, already previously used in other gunpowder factories in the Portuguese overseas space. The other aspect of the activity carried out in Barcarena by this Chief Engineer of the Kingdom, a position he had held since 1591, involved the recovery of the Ferrarias building, in order to the production of harquebushes and muskets other than nails and rigging for shipbuilding, which at the time were abandoned. Such initiatives are now especially well known for the notable drawings made by Turriano included in a codex preserved in the National Library of Portugal, accompanied by a descriptive text prepared by himself after he had ceased to function in Barcarena following the exoneration, in 1621, by Filipe IV (Filipe III of Portugal) of the Viceroy Dom Diogo da Silva, Marquês de Alenquer. For the knowledge of the works carried out in Barcarena by Turriano, important royal correspondence and other coeval documentation, preserved in Portuguese and Spanish archives, are published. This conclusions were completed with the results obtained in the archaeological excavations conducted by the author in 2009 and which led to the positive identification of the Ferrarias building, founded by King D. João II, in 1487 which were at the origin of the technological‑military complex of Barcarena, whose activity ran without interruption for more than 500 years, ceasing only in 1988.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".