Beyond alienability: factors determining possessive classes in Piaroa
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This article focuses on possession marking in Piaroa, a Jodï-Sáliban language spoken along the Middle Orinoco River on the Venezuelan-Colombian border. Based on a corpus of first-hand fieldwork data and building on previous descriptions of Piaroa possession, I show that Piaroa nouns can be divided into four main possessive noun classes based not only on the alienability (i.e., obligatorily possessed vs. optionally possessed) contrast but also based on construction types (i.e., directly possessed vs. indirectly possessed). This article thus contributes to our crosslinguistic understanding of possession constructions and possessive noun classes by showing that alienability is not a sufficient criterion to account for the different possessive classes and splits in Piaroa adnominal possessive constructions, which require positing two concurrent but distinct systems of possessive classification.
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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 | 0.016 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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