A construction grammar analysis of the transitive<i>be</i>perfect in present-day Canadian English
Bibliographic record
Abstract
This article offers a syntactic analysis of the construction [be doneNP], e.g.I am done dinner, I am finished my homework, as found in Canadian English and some US dialects. After situating this construction in the context of a productive transitivebeperfect in Scots/English dialects, [be doneNP] will be distinguished from a set of its conceptual and structural relatives, and ultimately be shown not to be reducible to a surface realization of another underlying structure. From the perspective of syntactic theory, the article problematizes the parsimony of the mainstream generative approach (most recently in MacFadden & Alexiadou 2010) in accounting for the facts of [be doneNP] on strictly compositional grounds, as well as the mainstream view of lexical items as projecting theta grids and subcategorization frames (as e.g. in Grimshaw 1979; Emonds 2000). Following Fillmoreet al.(1988), Goldberg (1995, 2005) and others, what will be suggested instead is a construction grammar approach to [be doneNP], under which a construction holistically licenses its argument structure. Along these lines [be doneNP] will be characterized as an abstract construction with some fixed material.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".