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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".