Null Expletives and Case: The View from Romance
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
This chapter focuses on lexical subjects in non-finite domains and, following Chomsky (2006, 2008), provides an account of structural Case reliant on the phase head. I argue that agreement, understood as uninterpretable phi-features (i.e., uφ), is not compulsory for either Case licensing or for obtaining a Case value. Nonetheless, I show that the presence of uφ on the probing domain will ensure a Nominative value, while its absence will constrain the DP to an Accusative value. I propose that a null expletive checking the EPP feature will trigger Nominative subjects whenever (C)-T lacks uφ, specifically, in non-finite domains, such as infinitives and gerunds. I offer evidence for expletive pro as a UG primitive from Romanian binding facts and provide an analysis of Case valuation in this language. Lastly, I discuss micro-parametric variation in subject lexicalization within null expletive languages.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.019 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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