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 article provides an analysis of verum marking in the Tsimshianic language Gitksan. Original fieldwork data are provided to show that Gitksan verum is very similar in its distribution and discourse effects to English verum, but displays two interesting differences. First, Gitksan verum is not marked by focal stress, but by a dedicated particle ( k 'ap ). Second, Gitksan verum does not require givenness of the core propositional material. I argue that when applied to a proposition p, k 'ap is (a) disallowed discourse-initially or in answer to a wh- question; (b) felicitous when responding to a prior assertion or implication of ¬ p; and (c) felicitous in other contexts only if there is prior controversy in the discourse about the truth of p. I show that the semantic contribution of the Gitksan verum particle can be captured by a discourse management analysis: verum ( p ) is licensed only when the speaker believes that some interlocutor is committed to ¬ p .
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 | 0.002 | 0.060 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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