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Record W4405696976 · doi:10.7203/qf.29.28712

Contrastivo es el nuevo negro: un estudio translingüístico de un “snowclone” en inglés, alemán y español

2024· article· es· W4405696976 on OpenAlexaff
Tobias Ungerer, Stefan Hartmann

Bibliographic record

VenueQuaderns de Filologia - Estudis Lingüístics · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

La investigación construccionista reciente ha experimentado un creciente interés en el contacto lingüístico y el cambio inducido por el contacto. En este artículo presentamos un análisis contrastivo basado en corpus del “snowclone” [X BE the new Y] y sus equivalentes en alemán y español. Nuestros resultados muestran que la construcción es más frecuente en inglés, pero productiva en los tres idiomas. Las técnicas de análisis colostruccional revelan paralelismos entre los lexemas con los que se combina el patrón en cada lengua, pero también diferencias en el grado de variabilidad semántica. En resumen, los resultados reflejan el papel del préstamo construccional en el surgimiento de las construcciones alemana y española, que pueden modelarse a través de vínculos en la red mental de hablantes multilingües.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.033
GPT teacher head0.320
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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