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 paper argues for an implementation of cyclicity through a natural economy condition, the Earliness Principle (EP), which requires a feature to be eliminated as early as possible. EP predicts that the search space for feature checking should increase throughout the derivation with the growth of the phrase marker. This prediction is shown to be manifested in “agreement displacement,” where agreement morphology under certain conditions cross‐references a noncanonical argument. Agreement displacement shows that (ϕ‐features of a head may seek a DP outside the complement of that head, after the cycle on which search exhausts the complement, as predicted by EP. A detailed look at Basque ergative displacement, which differentially affects person and number, leads to the conclusion that agreement may happen only once per interpretable feature. The blocking of multiple Agree relationships is implemented as a locality effect, based on the construal of Case as a functional category introduced by Agree.
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) | 0.000 | 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) | 0.001 | 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