Why this work is in the frame
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Bibliographic record
Abstract
This paper examines the syntactic structure of Arabic vocatives, focusing on Case-marking of vocatives. The assignment of accusative and nominative Case can be accounted for in the light of Hill (2017) and Larson (2014)’s proposals. Hill (2017) provides the basic structure of the vocative phrase, and Larson (2014) proposes the internal structure of DP. The combination of these proposals explains the derivation of Arabic vocatives and their Case alternation. This paper argues that indefinite vocatives are assigned accusative Case only if they are merged with an overt D -n, otherwise a nominative Case surfaces on the noun by default. Proper names have the same analysis since the presence of the indefinite article-n is a prerequisite for accusative Case assignment. Concerning vocatives as heads of Construct States, N-to-D movement takes place in order to assign [+def] feature to D and is assigned accusative Case once D raises to the light d. Regarding vocatives in demonstrative phrases, D-to-d movement is blocked because of the intervening constituent Dem, indicating that this operation is subject to the adjacency condition. The same analysis is applicable to definite vocatives occurring with the particle ʡayyuha.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it