Specificity in Spanish
Bibliographic record
Abstract
Recent proposals argue that interface areas such as syntax/semantics and syntax/pragmatics are particularly difficult for adult learners, in comparison to purely syntactic phenomena (Sorace 2003, 2004). In contrast, other research shows that L2 learners are able to acquire target representations even when the interpretation is not readily available in the input (Borgonovo, Bruhn de Garavito and Prévost 2005, Dekydtspotter and Sprouse 2001). In this paper we add to the growing literature on the acquisition of interpretational properties by showing that adult L2 learners can acquire knowledge of the syntactic correlates of the semantic notion of specificity in constructions involving topicalisation and null objects in Spanish. The learners’ first language (L1) is Brazilian Portuguese, where specificity does not play the role in these constructions that it plays in Spanish. Results show that learners can go beyond their L1 with respect to the acquisition of interface phenomena, suggesting that native-like grammars are attainable in L2 acquisition.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".