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Record W2923899523 · doi:10.1080/14788810.2019.1597326

Forging social links through the navy: Elite family connections across the Spanish Atlantic, 1750–1810

2019· article· en· W2923899523 on OpenAlexfundno aff
Pablo Ortega del Cerro

Bibliographic record

VenueAtlantic Studies · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
FundersOntario Ministry of Research, Innovation and ScienceFundación Séneca
KeywordsEliteNavyKinshipCreole languageNobilityNegotiationHistoryPower (physics)Section (typography)GenealogySociologyPolitical scienceAnthropologyArchaeologySocial scienceLawLinguisticsAdvertising

Abstract

fetched live from OpenAlex

This work seeks to analyse the links between elite families on both sides of the Spanish Atlantic through the processes of social negotiations that took place within the Spanish navy in the second half of the eighteenth and the opening decade of the nineteenth century. Increasingly close links led elite families to undergo and to experience similar transformations, such as new ways of representing kinship, changes in power networks, and different distinction patterns. This work examines these changes through social strategies followed by the Creole nobility to ensure that their members were admitted to the Spanish navy. The article is divided into three sections: the first part studies the circulation of people, as reflected in the enrolment of Creoles in the navy; the second section highlights the mechanisms used by families to mobilise their social relationships; the final section stresses the central role played by information in configuring Atlantic networks.

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 categoriesScience 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 score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.066
GPT teacher head0.284
Teacher spread0.219 · 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
Published2019
Admission routes1
Has abstractyes

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