Infinitival clauses with dative subjects: goal-oriented directedness in space and time
Bibliographic record
Abstract
Abstract Infinitival clauses are known to represent a caseless domain for the subject. Nevertheless, Russian is often cited as an exception to this property. It has a so-called “dative-infinitive construction” (DIC), in which an overt subject appears in dative case. Dative morphology also appears in certain control environments, resurfacing on a semi-predicate, which has been taken as evidence of case presence on PRO. This paper scrutinizes various types of DIC and proposes their unified analysis, relying on two theoretical tools: the framework of Distributed Morphology and the Universal Spine Hypothesis. Examining the building blocks of the infinitival clause in Russian, this paper argues against a covert-modal hypothesis. The dative case is attributed to a to -like functional head, Goal, which anchors the infinitival clause to a contextually salient point in time or a world of evaluation. Within the clausal spine, GoalP can either immediately dominate VoiceP or be immediately dominated by CP. The proposed analysis builds upon the concept of “goal-oriented directedness”, borrowed from the cognitive-functionalist literature and formalized in a generative perspective. Application of this analysis to control environments leads to a conclusion that two types of infinitival domains should be differentiated in Russian: full-fledged (GoalP-containing) CPs and bare infinitival phrases.
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How this classification was reachedexpand
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".