Dàgáárè complex constructions: Serial verb constructions, multi-aspectual constructions and coordination
Bibliographic record
Abstract
Abstract The Serial Verb Construction (SVC) phenomenon is widely researched across many languages. It is generally regarded as a construction in which two or more verbs share the same arguments within a single clause. The verbs in the series must share some grammatical properties such as tense, aspect and polarity. However, there is a verb sequence construction in Dàgáárè that shows apparent similarities to SVCs but with different values for aspect on the verbs. This paper investigates the internal structure of Dàgáárè SVCs and other verb sequence constructions such as multi-aspectual constructions (MACs) and coordinate structures. Applying a variety of syntactic and semantic tests, the paper distinguishes SVCs from MACs and coordination and shows the relation between MACs and coordination. Based on the results of the tests, I argue that although MACs have some properties of SVCs, they are not SVCs. Rather; I conclude that MACs pattern with coordination or covert coordination in Dàgáárè and they are perceived to express distinct events.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| 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".