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Record W2724243837

Un andamio para el español

2017· article· es· W2724243837 on OpenAlexaboutno aff
Rocío Luque

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Un andamio para el espanol A partir de la etimologia del verbo “andar” y de su familia lexica, se desarrolla una reflexion acerca del espanol y de las situaciones de contacto que se han creado a lo largo de la historia (desde el siglo XV hasta la actualidad) por cuestiones coloniales o migratorias. A continuacion, se presentan los ensayos que componen las tres secciones de la revista − “America del Norte: Estados Unidos y Canada”, “Mexico y Centroamerica” y “America del Sur” − y se formulan unas consideraciones finales acerca del papel de la lengua en el proceso de formacion de la identidad. A scaffold for Spanish From the etymology of the verb andar and its lexical family, we make a reflection on Spanish and the situations of contact that have been created throughout history (from the XV century to the present) because of colonial or migratory issues. Then we present essays that compose the three sections of the magazine − “North America: United States and Canada”, “Mexico and Central America” –and “South America” − and we make final considerations about the role of language in the process of identity formation. Un’impalcatura per lo spagnolo Partendo dall’etimologia del verbo “andar” e dalla sua famiglia lessicale, si fa una riflessione sullo spagnolo e sulle diverse situazione di contatto createsi nel corso della storia (dal XV secolo fino ai giorni nostri) sia per ragioni coloniali che migratorie. Di seguito, vengono presentati i saggi che compongono le tre sezioni della rivista − “America del Norte: Estados Unidos y Canada”, “Mexico y Centroamerica” y “America del Sur” – e vengono formulate delle considerazioni finali sul ruolo della lingua nel processo di formazione identitaria. DOI: 10.1400/253044

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)0.002
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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.300
Teacher spread0.263 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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