Exceptional Clitic Placement in Cypriot Greek: Results from an MET Study
Bibliographic record
Abstract
Recent studies on the pattern of clitic placement in Cypriot Greek (Revithiadou 2006; Chatzikyriakidis 2010, 2012; Pappas 2010, 2011), have posited the existence of counterexamples to the rule that the pronoun is proclitic after a complementizer or other such function words. These counterexamples are associated with a specific set of lexical items: έντζε, ότι, επειδή, αφού, and γιατί. Equally unclear is the clitic pattern with pre-verbal elements such as focused DP subjects. I present here the results of an acceptability judgment study of 34 Cypriot speakers based on magnitude estimation tests (MET) in ten different syntactic environments and two different conditions (enclisis vs. proclisis), for a total number of data points N = 680. The results demonstrate that these exceptional patterns are integral parts of Cypriot Greek competence and highlight the role that lexical items can play in terms of creating sub-patterns of generalizations within larger schemes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".