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Record W4211054622 · doi:10.25071/2561-5467.203

Ce que cache l'eau : la darse de l'arsenal espagnol de Ferrol dans la seconde moitié du XVIIIe siècle

2017· article· en· W4211054622 on OpenAlexvenueno aff
Manuel-Reyes García Hurtado

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Spain
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceDOCKHumanitiesBusinessEconomyEngineeringArtEconomics

Abstract

fetched live from OpenAlex

In the eighteenth century, with strong policy support for shipbuilding, arsenals appeared throughout Spain. This essay focuses on the Ferrol arsenal, the largest in Europe, and on its dock for it was in this maritime space that the fleet had to seek protection, thereby making it essential to provide the arsenal with specific accessibility and security considerations. To that end, technicians applied developments in hydraulic engineering but, while the construction of the arsenal was deemed a technological success, it also launched a debate, from an operational perspective, on how to make the best use of the dock.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.215
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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