Saliency and contrast in colloquial Bulgarian: clitic left dislocation versus contrastive topicalization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The claim advanced in this paper is that the presence of a left-dislocated element together with a resumptive clitic in Bulgarian is a special case of argument saturation with implications for the focus structure of the clause, while contrast involves discontinuous focus (contrastive topics/foci) with no clitics present in the derivation. Contrastive topic/focus constructions in Bulgarian can be united on the view that they involve (sets of) ordered pairs where the higher element is valuing a contrastive feature (cf. OCC in Chomsky 2001) while the element in the VP is a non-contrastive topic or focus. The contrastive feature participates in wh-structures but not in clitic-left-dislocated structures where pairing between arguments is 'accidental'.
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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 | 0.009 |
| 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) | 0.000 | 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 it