Bibliographic record
Abstract
Abstract This chapter argues that split ergativity is epiphenomenal, and that the factors which trigger its appearance are not limited to ergative systems in the first place. In both aspectual and person splits, the split is the result of a bifurcation of the clause into two distinct case/agreement domains, which renders the clause structurally intransitive. Since intransitive subjects do not appear with ergative marking, this straightforwardly accounts for the absence of ergative morphology. Crucially, such bifurcation is not specific to ergative languages; it is simply obfuscated in nominative-accusative environments because there, by definition, transitive and intransitive subjects pattern alike. The account also derives the universal directionality of splits, by linking the structure that is added to independent facts: the use of locative constructions in nonperfective aspects (Bybee et al. 1994, Laka 2006, Coon 2013), and the requirement that 1st/2nd person arguments be structurally licensed (Bejar & Rezac 2003, Preminger 2014).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".