A multivariate analysis of canonical and non-canonical uses of switch-reference markers in Mbyá narratives
Bibliographic record
Abstract
Switch-reference is a family of grammatical devices whose primary function is to indicate whether two linked clauses have coreferential pivots, where the pivot is a prominent argument in each clause. In some languages, in addition to their function of reference tracking, switch-reference markers can be used to indicate whether the events or situations described by the two linked clauses differ with respect to some parameter, such as time, place or actuality. This phenomenon is known as non-canonical switch-reference. Whether canonical and non-canonical switch-reference marking are distinct grammatical phenomena is still an open question. In this paper, we investigate uses of switch-reference markers in a corpus of Mbyá Guaraní (Tupian) narratives, and we argue that the alternation between canonical and non-canonical uses is an epiphenomenon of the multifactorial and probabilistic nature of switch-reference marker choice. In this perspective, there is only one grammatical process of switch-reference marking and the distinction between canonical and non-canonical switch-reference marking is matter of language use.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".