Contrastivo es el nuevo negro: un estudio translingüístico de un “snowclone” en inglés, alemán y español
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".