Reanalyzing Mandarin V<sub>1</sub>-V<sub>2</sub>resultative constructions—A force-theoretic approach
Bibliographic record
Abstract
Abstract This study takes a force-theoretic approach to Mandarin V 1 -V 2 resultative constructions. Unlike event-based analyses that hold a causing event accountable for a result state, this study attributes a result state to a specific entity involved in the relevant causing event. In this way, V 1 -V 2 resultative construction (RC) sentences have the interpretation that through a causing action, one entity relevant to the action caused a change of state to another entity; this causal influence is reconceptualized as a force from the former entity, characterizing the situation change concerning the latter entity. Following Copley and Harley (2015), this conceptual reanalysis is represented structurally, successfully deriving V 1 -V 2 RC sentences. V 2 and the internal argument DP specify the property of a resultant situation and its holder, defining the force; the external argument DP tells about this force's source; V 1 modifies this force, indicating the causing action through which this force is realized.
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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 | 0.003 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".