Bibliographic record
Abstract
This paper provides an account of N-bonding in Malagasy, a predicate-initial Austronesian language of Madagascar. N-bonding refers to a morphological process in which material from nominal arguments is morphologically bound to certain heads (Keenan 2000). I argue that N-bonding can be analyzed as a reflection of head-head adjunction configurations which can be derived in Malagasy through Local Dislocation (Embick & Noyer 2007; Levin 2015; Erlewine 2018), a post-syntactic operation that yields a complex head. Following Levin 2015, I assume that Local Dislocation is implemented in Malagasy due to licensing constraints. More specifically, I show that N-bonding occurs in all constructions in which an argument cannot be licensed by the structural mechanisms available in the language. The resulting head-head configuration then feeds a language- specific morphophonological operation that inserts a bundle of features which surface as the N-bonding element. This approach not only accounts for the distribution of N-bonding and is consistent with the observed phonological patterns, but also offers an alternative view of underlying clausal structure and voice morphology in Malagasy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".