Bibliographic record
Abstract
This chapter provides a description of the nominal linkers along with their distinctive properties in the Karachi dialect of Balochi. The linking elements in this language signal modification (and complementation) in a head final NP and PP structure. Thus, they are referred to as Reverse Ezafe (REZ). There are two types of REZ in Balochi; the first one appears between attributive adjectives (REZ1) and their head noun, also known as attributive marker, while the second one links possessors and the complements of postpositions to their heads (REZ2), widely known as the Genitive case marker. The data show that REZ1 and REZ2 have further differences such that REZ1 phonologically has an invariant form whereas REZ2 has two different forms depending on the number property of the element it attaches to (i.e., singular versus plural). It is also demonstrated that they display distinctive properties when the head noun is elided in the context of ellipsis.
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How this classification was reachedexpand
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 | 0.002 |
| 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) | 0.001 | 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 teacher head, 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".