Synchrony and diachrony of postverbal negation in Jodï-Sáliban
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 proposes a detailed comparative treatment of negation in the Jodï-Sáliban language family (Venezuela-Colombia, Northwest Amazonia, South America), which consists of four languages: Jodï [yau], Sáliba [slc], Piaroa [pid] and Mako [wpc]. This comparative analysis of negation strategies across the four languages in the family not only offers an overview of negation strategies in this language family but also allows for conclusions to be drawn on the cognacy of the different constructions and markers as well as on the sources of the main negation strategies. Specifically, I show that, even though certain markers are not cognate, negation in these languages has – as far back as the documentation goes – always been postverbal and suggest that postverbal negation can be diachronically stable. This research thus offers an in-depth analysis of negation in Jodï-Sáliban, a language family that remains underdescribed, and, crucially, contributes to our understanding of postverbal negation and its sources.
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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) | 0.000 | 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