The split-S system and the source of the absolutive case in Tenetehára
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Bibliographic record
Abstract
<p>The main goal of this paper is to investigate the split-S system in Tenetehára. I propose that the A and S<sub>a</sub> subjects are cross-referenced by means of the same set of prefixes in root eventive clauses, whereas O and S<sub>o</sub> are encoded by the absolutive clitics. The analysis demonstrates that this language exhibits an internal parametric variation in the sense that the S<sub>a</sub>, S<sub>o</sub> and A subjects may receive either the nominative or accusative Case, whereas objects systematically receive the accusative Case. This opens a parametric option in the sense that a higher functional projection must be activated in order to make possible the Case evaluation of the S<sub>a</sub>, S<sub>o</sub>, A and O arguments.</p>--------------------------------------------------------------------------------<p>Este artigo examina o sistema cindido de marcação de argumentos nucleares na língua Tenetehára. Propõe-se que há uma série de prefixos que codifica os argumentos A e S<sub>a</sub> de predicados eventivos, enquanto outra série codifica os argumentos O e S<sub>o</sub> por meio de clíticos absolutivos. A análise propõe ainda que essa língua exibe uma variação paramétrica, visto que os sujeitos S<sub>a</sub>, S<sub>o</sub>, e A ora recebem Caso nominativo ora Caso acusativo, enquanto objetos recebem apenas Caso acusativo. Esta proposta abre uma opção paramétrica no sentido de que precisamos acionar uma projeção funcional acima do domínio de v-VP para possibilitar a valoração de Caso dos argumentos S<sub>a</sub>, S<sub>o</sub>, A e O.</p>
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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