The syntax of Gascon clause-type particles
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
Bearnese Gascon uses particles (the so-called "enunciative particles") to mark declarative, interrogative, and exclamative clauses.In this article it is shown that those particles are in the left periphery and that their interaction with Force, Topic, and Negation presents us with two puzzles.First, in embedded clauses, those particles can co-occur with a complementiser only in the presence of a topic.Second, although those particles and the negative marker are mutually exclusive, the negative marker can actually co-occur with a complementiser in the absence of a topic.To solve the first puzzle, it is proposed that the Topic head has blocking effects because it has the right features to induce a relativised minimality effect; to solve the second puzzle, it is proposed that the negative marker and the enunciative particles occupy the same syntactic position, but have a different syntactic behaviour because they have different inherent features.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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