Pluractionality of Events in Macuxi: A Morpho-Syntactic and Semantic Analysis
Bibliographic record
Abstract
This paper discusses how pluractionality is expressed in Macuxi (Cariban), a South American Indigenous language spoken in Brazil, Guyana and Venezuela. Cross-linguistically, the multiplicity of an action can be expressed by means of specialized pluractional morphemes affixed on verbs, via adverbs, or by reduplication. Previous work on Macuxi claimed that the iterative suffix -pîtî indicates a multiplicity of actions, whereas verbal reduplication is mentioned but scarcely described, and is associated with the interpretation of multiple events. Based on data from context-based elicitation, we show that verbal reduplication is impacted by Aktionsart (activity and semelfactive verbs, which denote unbounded, atelic events, have a higher tendency to be reduplicated) and that reduplicated verbs are often associated with an intensity interpretation. On the other hand, the suffix -pîtî functions as a pluractional marker that encodes a multiplicity of events and is predictable via a Lasersohnian analysis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".