El género gramatical en español entre los hablantes de herencia y los hablantes nativos
Bibliographic record
Abstract
Los hablantes de herencia, es decir, las personas que hablan una lengua desde el nacimiento que acaba convirtiéndose en una lengua no dominante con el tiempo, constituyen un grupo tradicionalmente poco estudiado; sin embargo, últimamente está recibiendo mayor atención. Un área que ha emergido en los últimos años es la realización del género gramatical en las lenguas de herencia. Las investigaciones previas indican que existe una diferencia significativa entre los hispanohablantes nativos y los de herencia (Montrul, 2014; Valenzuela et al., 2012); por tanto, el propósito de este estudio es contribuir a la literatura de los hablantes de herencia. En el presente estudio, se dividió a 43 participantes hispanohablantes en grupos dependiendo de si eran nativos o de herencia. Cada participante llevó a cabo una Elicited Oral Production Task. Los resultados demuestran que los hablantes de herencia tienden a cometer un número de fallos de género significativamente mayor que los hablantes nativos y que usan ciertas estrategias, como la autocorrección, significativamente más que los nativos para evitar cometer dichos fallos. Los resultados del estudio respaldan las conclusiones de investigaciones previas, que indican que los hablantes de herencia no realizan el género gramatical de manera nativa. Heritage speakers, that is, speakers of a language that is spoken since birth but becomes a non-dominant language over time, are classically an understudied group. However, in the field of linguistics, the subfield of heritage speakers is rapidly expanding. Specifically, the realization of grammatical gender in heritage languages has not been studied extensively until just recently. Previous research indicates that a significant difference exists between native and heritage speakers of Spanish (Montrul, 2014; Valenzuela et al., 2012); thus, the purpose of this study is to contribute to the literature of this growing subfield. In the present study, 43 Spanish-speaking participants were divided into groups depending on whether they were native or heritage speakers. Each of the participants carried out an Elicited Oral Production Task. Results demonstrate that heritage speakers tend to make significantly more gender errors than native speakers and that heritage speakers also utilize certain strategies, like self-correction, significantly more than native speakers in order to avoid committing these errors. Results from this study support the findings in previous research, which indicate that heritage speakers are not native-like in their realization of grammatical gender.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".