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Record W4406345228 · doi:10.14195/1645-2259_10_1_5

Os Castelos e o Conselho Real: Patrocínio Político em Portugal (1495-1521)

2010· article· pt· W4406345228 on OpenAlexaff
Susannah Humble Ferreira

Bibliographic record

VenueRevista de História da Sociedade e da Cultura · 2010
Typearticle
Languagept
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

No início do século XVI, um aumento de riqueza e de interesse em diplomacia resultou no crescimento da corte portuguesa, tanto em termos do número de pessoas como em termos espaciais (tamanho físico dos palácios). Este artigo tem como objectivo examinar os motivos por detrás da expansão do conselho real português durante o reinado de D. Manuel I (1495-1521) e postula que o rei terá empreendido essa expansão numa tentativa de criar laços verticais, ligando a corte com castelos situados na fronteira luso-castelhana. O conselho real operava como o núcleo político da nação e as posições no conselho conferiam prestígio, fazendo das nomeações para o concelho um importante veículo de patrocínio político. A motivação para expandir o tamanho do conselho do rei é contextualizada nas tensas relações entre Portugal e Aragão-Castela após a união das coroas em 1479.

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: none
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.005
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.037
GPT teacher head0.271
Teacher spread0.234 · 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
Published2010
Admission routes1
Has abstractyes

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