Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is a strong line of research on mood selection of the Spanish subjunctive (e.g., relative, argument, and adverbial clauses), but little attention has been paid to the Spanish pluperfect subjunctive in second language (L2) acquisition. The main purpose of this study is to investigate the acquisition of the Spanish pluperfect subjunctive in conditional clauses. This study aims to demonstrate what is easier and what is more difficult to acquire, as well as what the results can tell us in terms of interfaces. Forty-five participants ( n =24 adult Spanish learners and n =21 native speakers) completed a proficiency test and four linguistic tasks. The results show variation by native speakers in their use of the subjunctive, while Spanish learners had difficulty with the morphology, but not with the semantics or pragmatics. These results are consistent with hypotheses that recognize that difficulty stems from morphology. The findings also suggest that the use of the Spanish pluperfect subjunctive involves multiple interfaces that interact simultaneously at the moment of the morphological realization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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