On the establishment of ergative alignment during the Late Middle Indo-Aryan period
Why this work is in the frame
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Bibliographic record
Abstract
I will argue that the Late Middle Indo-Aryan period (7–11th c.) was the crucial period for the establishment of ergative alignment as known from contemporary West Indo-Aryan languages (Bubenik 1998). I will demonstrate that the syncretism of case leading to the appearance of the absolutive case in the nominal system was caused by phonological change, while the way case marking alignment was distributed over the pronominal system can primarily be attributed to the effects of animacy. On the verbal side the increase in ergativity came as a consequence of the ultimate demise of the old aspectual forms. I will endorse a ‘contingency view’ of alignment (Dixon 1994, Haig 2008) which considers the increase in ergativity as a mere ‘by-product’ of the restoration by analytic means of the old aspectual triad.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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