The Phonetic and Morphosyntactic Dimensions of Grammatical Gender in Spanish Heritage Language Acquisition
Bibliographic record
Abstract
Abstract Previous studies disagree as to whether heritage bilinguals demonstrate loss of knowledge of Spanish grammatical gender. As phonetic variability is known to affect the acquisition of certain grammatical markers, we examine whether bilinguals’ gender difficulties relate to bilingual contact-induced phonetic variability, namely, reduction in the inventory of word-final unstressed vowels. We analyzed narratives from children in the United States (n = 49, ages 4–12). All NP s (n = 1415) were analyzed for structure, noun class, and morphology. Word-final vowels were sub-selected for acoustic analyses. Morpho-syntactically, group results show high accuracy with gender (95%), but with wide individual variation (44%–100%). Speakers also show individual variability and substantive numbers of vowel misclassifications (6%–33%) with higher variability for /a/ and /o/. We found bilingual effects in both domains but no association between phonetics and gender accuracy. These findings have implications for the relationship between phonetics and grammar, and for the morphosyntax of Spanish 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".