Bibliographic record
Abstract
Languages like Spanish, Catalan and Romanian accept combinations of 1st and 2nd person clitics. However, not all 1st and 2nd person combinations are possible. Although two single clitics can be combined, the combination of two plural clitics results in ungrammaticality (Rivero 2008; Nevins a Savescu 2008). This is true for Spanish and Romanian, but only partially for Catalan. On the other hand, all three languages accept clitic combinations that include a plural dative and a singular non dative and systematically reject combinations that include a singular dative and a plural non-dative. In view of this, I argue that there is a number-case restriction that parallels the Person Case Constraint, first proposed by Bonet (1991), and, in more general terms, I defend that clitic restrictions are drawn by the degree of markedness of the dative clitic with respect to the other clitic in the cluster.
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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 | 0.000 | 0.001 |
| 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) | 0.006 | 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 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".