La structure du prédicat verbal : une étude de la construction à double objet en français
Bibliographic record
Abstract
The present thesis addresses the issue as to why the double object construction (e.g., John gave Mary a book) seems to appear in certain languages but not in others. This construction has received much attention in past research in formal linguistics and has played a central role in developing our understanding of the internal structure of the VP. Previous studies generally define the construction with respect to relative linear order of the object complements of the verb and the lack of morphological markings on these objects. We show that these properties are not inherent to the construction and that consequently, the construction exists in a wider variety of languages than previously assumed, particularly French. \nAlong the lines of Goldberg (1995, 2006), we develop a universal semantic definition of the construction, which may be used as a diagnostic to test, systematically and categorically, its presence across languages. In particular, we identify the double object construction in French as, for example, Jean a donné le livre à Marie. We then explain the cross-linguistic structural differences with a Case-driven approach. Specifically, we argue that the inherent dative Case, present in French but not in English, is responsible for the structural differences recognized between the languages. By adopting a minimalist derivation of argument structure (Chomsky 1995, 2000, 2004) and the applicative analysis (Pylkkänen 2002), we are able to determine the syntax of the construction, while eliminating the redundancies and limitations of previous accounts. We present certain resulting predictions related to the grammar, including a generalisation of Case-checking by the low applicative phrase, a syntactic position related to the direct object properties, and universal properties of the construction itself.\nIn all, this thesis offers empirical evidence for the universality of the double object construction and Case-driven syntactic derivation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".