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Record W6989383374

From the Atlantic to the Mediterranean: the voyage of Rui Teixeira to the Italian Peninsula from Portugal

2022· article· ca· W6989383374 on OpenAlexaff

Bibliographic record

VenueRevistes Científiques de la University of Barcelona (University of Barcelona) · 2022
Typearticle
Languageca
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPeninsulaPortugueseKingdomTime line
DOInot available

Abstract

fetched live from OpenAlex

De l'Atlàntic al Mediterrani: el viatge de Rui Teixeira a la península italiana des de Portugal L’article considera l’interès que tenien les comunitats mercantils i a la diàspora a l’hora de cercar refugi segur a la Itàlia moderna a partir de l’exemple del mercader Rui Teixeira, que l’any 1593 va ser convidat tant per Roma com pel Gran Ducat de la Toscana a establir-se a Itàlia amb la seva família. Atesa la seva condició de resident a Portugal i al Brasil durant molts anys, va aprofitar l’experiència americana per obtenir la invitació per sortir de Portugal juntament amb la seva família. Aquest fet suggereix que pertànyer a una minoria mòbil amb vincles comercials que travessaven l’Atlàntic despertava un interès pel món atlàntic que ja hi havia, especialment a la Toscana de finals del segle XVI.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.249
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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