Generalising Asymmetric Coordination with Resumptive Pronoun: A Syntactic Analysis of Certain Dislocations in Biblical Hebrew
Bibliographic record
Abstract
This study clearly distinguishes Biblical Hebrew topicalisation (fronting) from the hanging topic construction (extraposition) within the framework of the Minimalist Program. Topicalisation involves the movement of some constituent into [spec,TopP] resulting in a gap. In contrast, the hanging topic is not moved but rather base-generated in [spec,&P]. Thus, extraposition is simply a special case of asymmetric coordination. In addition, this study explains how and why these distinct constructions are easily and generally confused. On the one hand, verb movement into the left periphery may render the relative position of constituents opaque. On the other hand, and more importantly, Biblical Hebrew is a robust pro-drop language. Consequently, there may be some ambiguity between the gap resulting from clause-internal topicalisation and the apparent gap of a null subject pronoun resuming a clause-external hanging topic.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 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".