Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study deals with the so-called Light Verb Construction in Japanese, which consists of the verb “suru” do and an accusative (“o”) marked verbal noun (VN). There have been unresolved debates on the role of “suru”: whether “suru” in “VN-o suru” functions as a light or heavy verb. The previous studies attempt to disambiguate “VN-o suru” formations by relying solely on examining whether “suru” can be thematically light or not. This study argues that the ambiguity does not stem from the weight of “suru” but from its accusative phrase: whether it is headed by a thematic (complex event) VN or non-thematic (simple event) VN. Using a principles and parameters approach and employing ideas from conceptual semantics and theories of aspect, this study demonstrates that the characterization of “VN-o suru” formations arises not from the dichotic behavior of “suru” but from the dichotic behavior of the accusative phrase.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it