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Record W4401264664 · doi:10.5040/9798400667848

Iberia and the Americas

2005· book· en· W4401264664 on OpenAlexaboutno aff

Bibliographic record

VenueABC-CLIO eBooks · 2005
Typebook
Languageen
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

This comprehensive encyclopedia covers the reciprocal effects that the politics, foreign policy, and culture of Spain, Portugal, and the American nations have had on one another since the time of Columbus. From the discovery of Newfoundland and Labrador by Portuguese explorer Gaspar Corte Real in 1501 to the phenomenal Hollywood careers of Spanish movie stars such as Antonio Banderas and Penelope Cruz,Iberia and the Americastraces 500 years of Iberian influence on the Americas and vice versa. Featuring six introductory essays and a chronology of key events, this three-volume encyclopedia examines more than five centuries of transatlantic encounters. Students of a wide range of disciplines, as well as the lay reader, will appreciate this exhaustive survey, which traces Spanish and Portuguese influence throughout the Americas and highlights how Iberian cultures have in turn been enriched by the diverse cultures of the Americas.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.006

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 head0.035
GPT teacher head0.237
Teacher spread0.202 · 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
GenreOther

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

Citations2
Published2005
Admission routes1
Has abstractyes

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