Bibliographic record
Abstract
Abstract While VP-fronting in English has various properties that are generally taken to be hallmarks of $$\overline A $$ -movement, other properties of the construction militate against an analysis in terms of displacement of VP to the clausal periphery. Such an analysis falls short of providing principled answers to the questions of why the trace of VP-fronting must be nominal, why certain kinds of morphological mismatches between the fronted VP and its trace are possible, why fronting of remnant VPs is impossible, and others. This article proposes an analysis of English VP-fronting – plausibly extending to English ’topicalization’ in general – based on the observation that the construction shares these non-movement properties with left-dislocation of VP in German. Connectivity effects, on such an approach, are the result of ellipsis. By assimilating VP-fronting to dislocation, the analysis furnishes principled explanations for the striking asymmetries between English-type VP-fronting (dislocation) and German-type VP-fronting ( $$\overline A $$ -movement).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".