A Modular account of null objects in French
Why this work is in the frame
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Bibliographic record
Abstract
Abstract. The interaction among pragmatics, semantics, and grammar and their shared responsibility for interpretation are essential factors in linguistic analysis. This paper explores the interpretation of null objects (NOs) in French from this perspective. Previous accounts have determined two major classes based on the referentiality of the NO; however, these analyses end up, paradoxically, with a semantically vague description of the difference, resorting to undefined notions of identifiability, topic/focus, or probable reference. Starting from the assumption that all NOs are syntactically represented, we tease apart the contributions of syntax, semantics, and pragmatics, which turn out to be simple and straightforward. We propose a typology comprising two syntactic types of NO; further nuances are a function of the varying contributions of verbal semantics and pragmatics.
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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 | 0.000 |
| 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) | 0.003 | 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