The particle ‘ke’ as a differential object and subject marker in Ka’apor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The main purpose of this article is to show that the Ka’apor language exhibits both direct object marking (DOM) and differential subject marking (DSM). This research demonstrates that the particle ke is responsible for triggering these systems, since it is used when agent subjects are semantically affected by the event described by the verb and when objects are high on the animacy scale. In this sense, the DOM mechanism in Ka’apor is regulated by both the animacy and definiteness scales. With regard to DSM, I hypothesize that it emerges as an example of a markedness reversal, since affectedness is not a typical property of subjects, but only of objects. As a result, DSM in Ka’apor is characterized by the fact that only subjects which resemble typical patient objects are overtly case-marked by the particle ke.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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