The Syntax of Clitic Placement in European Portuguese
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Bibliographic record
Abstract
In most Romance languages, object clitics appear to the left of the verb (proclitics); in European Portuguese (henceforth, EP) they appear to the right (enclitics). Furthermore, several syntactic environments trigger proclisis in EP, which usually have no effect on clitic placement in other Romance languages. These environments can be roughly split into two categories: those in which CP is filled (Wh-questions, focus constructions, subordinate clauses), and those in which a head position between CP and TP is filled (negation, special adverbs). To account for this, I propose that C 0 in EP has the strong feature [+lexical] which must be checked by a lexical item before Spell-Out. I also propose the following clause structure: TopP>CP>Adv s P>NegP>TP>vP>VP. Adv s P is a functional projection which hosts any one of a small set of special adverbials. If CP is filled by Spell-Out (either in its head or specifier position), the [+lexical] feature will be checked and erased. If not, then C 0 attracts the closest lexical item.
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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 | 0.001 | 0.004 |
| 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