The syntactization of kinship in vocative phrases
Why this work is in the frame
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Bibliographic record
Abstract
Current studies point out that vocative phrases encode the social relation between speaker and addressee by the interaction of various means, i.e., prosody, lexical options, morpho-syntactic operations. As a contribution to this body of research, this paper focuses on reversed vocatives, and develops two main arguments: (i) vocative phrases provide the default domain for the morpho-syntactic encoding of speaker’s social superiority; and (ii) reversed vocatives are a case in order, where the syntactization of the kinship rank ensures the speaker’s upper-hand in the social relation. Formally, the mapping of the kinship feature entails syntactic head splitting, so the analysis confirms that the derivations concerning the conversational field conform to the general split-and-remerge options available to functional heads (on a par with D, C, T fields).
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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) | 0.000 | 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