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 Dayal (1996) makes two predictions on the interaction of number and wh-phrases: (i) that questions with singular wh-phrases yield a uniqueness inference, and (ii) that questions with plural wh-phrases yield an antiuniqueness inference. Maldonado (2020) shows that Spanish bare wh-phrases do not conform to Dayal’s predictions. From this, she argues against a unified treatment of number across wh-expressions. Elliott et al. (2022) argue that a unified treatment of number can be maintained if bare wh-phrases are capable of ranging over generalized quantifiers. We weigh in on this discussion by arguing for an intermediate position: though independent evidence suggests that wh-phrases can range over generalized quantifiers, an assumption that we adopt for bare wh-phrases, the unified treatment of number presented in Elliott et al. (2022) faces challenges that can be avoided under Maldonado’s assumptions about number marking on bare wh-phrases.
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 | 0.000 | 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) | 0.000 | 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 it