The Sociolinguistic Impact of Service-learning on Heritage Learners Sojourning in Spain
Bibliographic record
Abstract
Over the past three decades, a considerable number of studies have investigated the connection between study abroad and second language acquisition to the exclusion of another emerging language profile, that of heritage language learners who study abroad to enhance their home language skills. The few studies on heritage language learners’ development of local features abroad have focused on phonological ones, concluding that more in-depth exposure to the varieties abroad was related to increased production of the local features (Escalante, 2018; George & Hoffman-González, in press). Research on the effects of international service learning have also been limited to second language learners, demonstrating increased second language use and proficiency (Martinsen, Baker, Dewey, Bown, & Johnson, 2010) along with the development of geographically-variable patterns of use (Salgado-Robles, 2018). The current study combines these two fields and investigates the development of a variable local feature (vosotros versus ustedes) by 20 U.S. Spanish-speaking heritage language learners of Mexican descent studying abroad for four months in Spain. The experimental group (N = 10) participated in a service learning course in addition to traditional coursework, while the control group (N = 10) completed traditional coursework and no service learning course. The results of the Oral Discourse Completion Task demonstrated that all participants significantly increased their use of vosotros from the beginning to the end of the semester; however, the change by the experimental group was two times higher than the control group. This could be explained by the results of the Language Contact Profile, which revealed more use of Spanish and less use of English by participants in the experimental group. This study offers implications for future study abroad programs, the linguistic impacts of service-learning, and the development of sociolinguistic competence.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".