RESETTING THE FUNCTIONAL FEATURES OF THE ACCUSATIVE CLITIC IN THE SECOND LANGUAGE ACQUISITION OF SPANISH
Bibliographic record
Abstract
This paper contributes supporting evidence for the Full Access Hypothesis of second language acquisition, as proposed by White (1985b, 1986, 2000, 2003) and Duffield et al. (1999, 2002), among others, according to which adult second language learners have access to principles and parameters of Universal Grammar (UG) and can thus acquire the features of syntactic functional categories present in the second language. Here, we present the results and constitution of a small pilot study that investigates the ultimate attainment of functional features related to accusative clitic doubling agreement in the second language acquisition of Spanish by native speakers of Romanian. The aim is to determine whether the final state interlanguage language competence of the functional features under discussion complies with the grammar of (1) the second language (language to be acquired), (2) the first language of the learner, or (3) neither the rules of the first language nor those of the second language. We show that the features of the accusative clitic functional category are reset to the values of the L2 in a configuration in which the set of features of the L1 is restricted to those of the L2.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".