L1 grammatical attrition in late Spanish-English bilinguals in the UK: aspectual interpretations of present tense in Spanish
Bibliographic record
Abstract
This article sheds light on the linguistic and extralinguistic conditions that determine the likelihood of L1 grammatical attrition in late sequential bilinguals. We explore whether aspectual interpretations associated with the present tense may be a vulnerable area for the native grammar of 30 late Spanish-English bilinguals who have settled in the UK for over 15 years. Attrition of this property in L1 Spanish grammars has been reported by Cuza (2010. On the L1 attrition of the Spanish present tense. Hispania 93, no. 2: 256–272. doi:10.1353/hpn.2010.a382874) for Spanish-English bilinguals in the USA and Canada. Our finding of no attrition for UK-based Spanish bilinguals suggests that in Cuza’s study, attrition may be mediated by dialectal variation in the L1 in the North American context, where Spanish is a widespread and visible community language. Further, we ascribe the absence of attrition to a specific characteristic of the grammatical distinction between the L1 and L2: where the L2 grammar provides options representing only a subset of the options available to the L1 for the corresponding grammatical property, attrition may be disfavoured.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".