On the Marginal Functions and Features of Object Clitics, with Special Reference to Modern Greek
Bibliographic record
Abstract
Written within the minimalist program approach to grammar (Chomsky 1995), this paper examines the nature of θ-role requirements in three types of object clitic constructions:idiomaticandaffected accusativein Modern Greek, andaffected dativein Modern Greek and French. I do not treat the idiomatic clitic constructions as lexically listed VPs, but as being derived syntactically. Furthermore, I argue that these constructions contain Tense and Person intrinsic features that are not visible to the syntax, and an obligatory θ-feature [EXPERIENCER] checked in the syntax by means of the operation Attract-F. Affected accusatives are analyzed as non-A-bound θ-marked affixes which attract an interpretable θ-feature [EXPERIENCER] associated with V. A simple VP syntactic structure without clitic movement is attributed to them. Lastly, for affected dative constructions, I propose avshell syntactic structure with base-generation of the clitic.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".