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Record W4380787356 · doi:10.1080/14701847.2023.2225294

The Atlanticity of the Macaronesian islands during the Iberian Union

2023· article· en· W4380787356 on OpenAlexfundno aff
Javier Luis Álvarez Santos

Bibliographic record

VenueJournal of Iberian & Latin American Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsCape verdePortugueseGeographyPopulationMonarchyEthnologyHistoryPolitical scienceDemographySociologyLawPolitics

Abstract

fetched live from OpenAlex

The search for the definition of the Macaronesian islands world (Azores, Madeira, Canary Islands and Cape Verde) has been a subject of constant reflection for the interpretation of these societies, both to understand their origin and their worldview, and to define the parameters that unite the island spaces with the Atlantic and, consequently, with that which is foreign. This research is focused on the analysis the characteristics which define the island phenomenon with the goal of understanding the peculiar significance of the composition of modern Macaronesian society during the consolidation of the Atlantic world at the time of the Iberian Union. In this regard, the islands of Macaronesia formed an essential terrain to feed and boost transatlantic circulation. The attraction of certain islands is their ability to cross distant paths, redistribute products and promote migratory flows in the Atlantic. In this way, the fluid contacts between islands of Macaronesia, which are complementary, promoted between the Castilian and Portuguese islanders not only a feeling of belonging to a supranational Iberian monarchy, but also a sensitivity of belonging to the same island region formed by a Portuguese and Spanish population of extrapeninsular origin with its nexus being it’s the Atlantic insularity.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

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