The syntax of Spanish comparative correlatives
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Bibliographic record
Abstract
In this paper we provide a principled account of the syntactic properties of Spanish Comparative Correlatives (CCs) within Principles and Parameters theory. CCs have lately been at the centre of the debate between Construction Theory proponents, who claim construction status for them because of their idiosyncratic syntax and semantics, and supporters of UG-based syntax.1We contribute to this debate by showing that, despite appearances, Spanish CCs have a regular internal and external syntax. Assuming a cartographic approach to the syntax of Topic and Focus, we argue that their informational properties are the clue to their macrostructure. Specifically, we propose that C1, the first clause of CCs, is a subordinate clause that sits in the specifier position of the topic Phrase of the main clause and is followed by a focus-fronted constituent which occupies the specifier position of the focus Phrase of the main clause. We also show that our analysis can be extended to other sentence-initial adverbial adjunct clauses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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