The Interpretation of Adjective-N Sequences in Spanish Heritage
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Bibliographic record
Abstract
Adjectives appear predominantly postnominally in Spanish, and when prenominal, cannot be interpreted as restrictive. We explore whether heritage speakers of Spanish have the same interpretive and ordering restriction as monolinguals. Twenty-two US college-age heritage speakers and 17 college-age monolinguals from Peru completed a rating task that manipulated word order and interpretation. Items varied in word order (Adj-N/N-Adj) and interpretation (restrictive-only, color and nationality adjectives, and ambiguous adjectives, restrictive and non-restrictive), all framed within a context that favored a restrictive interpretation. Both groups judged Adj-N orders lower than N-Adj orders, and restrictive adjectives lower in prenominal position than ambiguous adjectives. Consequently, we argue that heritage speakers (HS) have the relevant knowledge regarding word order and interpretation, and the interactions among the two properties. We propose a syntactic representation involving NP-raising for both groups, and suggest that in some cases, the higher copy of the NP is deleted, resulting in the linear order Adj-N. We also argue that this analysis may explain the range of individual variation across heritage speakers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it