Variaciones Morfosintácticas Producidas por el Contacto Lingüístico en el Habla de la Comunidad Cubana de Montreal.
Bibliographic record
Abstract
Este artículo presenta los resultados de un estudio realizado sobre las variaciones morfosintácticas que se han producido en el español de los cubanos que residen en Montreal, debido al contacto lingüístico que tiene lugar en esa ciudad. En nuestro estudio hemos analizado un corpus compuesto por 20 horas de conversación que fueron grabadas en Montreal en el 2012. Tras el análisis de los datos obtenidos, hemos comprobado que las principales variaciones se han producido en las palabras invariables, principalmente en las preposiciones. El análisis de estos datos nos ha permitido poner en marcha un inicio de categorización de la variedad cubana del español en contacto con el francés en el contexto de Montreal, lo cual supone un primer acercamiento formal a una situación de contacto de lenguas nunca antes estudiada. Palabras claves: lenguas en contacto, sociolingüística variacionista, morfosintaxis. Abstract This article presents a summary of the contact induced changes that have occurred in the Spanish morphosyntax of Cubans residing in Montreal. We have analyzed a corpus composed by 20 hours of conversations recorded in Montreal in 2012. After analyzing the data, we have found that the major changes have occurred in the invariable words, mainly in prepositions. The analysis of these data allowed us to implement a categorization of the Cuban Spanish variety in contact with French in the context of Montreal, which is a first formal approach to a language contact situation that has not yet been studied.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".