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
Abstract: This chapter provides an overview of noun incorporation in broad terms, examining nominals found either within or strictly adjacent to predicates from numerous languages. Syntactic issues have shifted from an earlier debate about whether noun incorporation was an operation in the lexicon or syntax to more recent discussion about whether noun incorporation is a narrow syntax or PF operation. Other issues concern whether phrases or just heads can incorporate. If phrases incorporate, are they phrasal at the point of incorporation? AGREE analyses examine the trigger for incorporation. A number of analyses posit that there is no movement of the nominal at all (pseudo noun incorporation), and utilize an adjacency relation between the verb and incorporated nominal. It remains clear that languages show similar cross‐linguistic properties in noun incorporation, even to the extent that language‐internal differences are often similar, often relating to verb class. The expansion of the set of empirical data from semantic analyses and other work continues to lead toward refinements.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.036 | 0.008 |
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