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
The information structure of English cleft sentences is discussed. A cleft sentence divides a proposition into two parts, which are interpreted as an exhaustive focus and a pragmatic presupposition. These two semantic components can be flexibly mapped onto the information structure categories of topic and comment to arrive at comment-topic (‘stressed focus’) clefts and topic-comment (‘informative presupposition’) clefts. Clefts thus introduce a cleft focus or even a pair of foci constructionally. They also exhibit an assertive (comment) focus, which may or may not correspond to the cleft focus. While only exclusive focus particles can associate with the cleft focus, additive and scalar focus particles can associate with the assertive focus in the cleft clause, thus giving rise to additional cleft sentences containing multiple instances of focus. Keywords: cleft; focus; presupposition; topic
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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