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Record W2583530447

Sobre el origen hispánico del nombre ‘Canadá’

2016· article· es· W2583530447 on OpenAlexaboutno aff
Juan Francisco Maura

Bibliographic record

VenueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicBasque language and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseHumanitiesFifteenthHistoryArtToponymyArchaeologyAncient historyPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

La presencia española y portuguesa en Canadá es mucho más temprana de lo que habitualmente se piensa. La documentación sobre muchos de estos viajes es escasa debido a que la mayoría de ellos fueron realizados por pescadores de ballena y bacalao. La toponimia de los primeros mapas así como el testimonio de algunos documentos demuestran que desde finales del siglo xv y principios del xvi la presencia hispana por esas aguas y tierras es constante. La palabra «Canadá» será un buen ejemplo más.; The Spanish and Portuguese presence in Canada is much earlier than is usually thought. The documentation on many of these trips is scarce because most of them were made mostly by Basque and Portuguese whale and cod fishermen. The toponymy of the first maps and the testimony of some documents show that from the late fifteenth and early sixteenth century the Hispanic presence by those waters and lands is constant. The word «Canada» is a good example .

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 score0.089
Threshold uncertainty score0.179

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 studies0.0150.009
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.026
GPT teacher head0.310
Teacher spread0.284 · 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".

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Citations1
Published2016
Admission routes1
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