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Record W4310789512 · doi:10.16995/glossa.6386

Malagasy N-bonding: A licensing approach

2022· article· en· W4310789512 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlossa a journal of general linguistics · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
FundersMcGill University
KeywordsHead (geology)Austronesian languagesLinguisticsArgument (complex analysis)AdjunctionComputer scienceDislocationMathematicsPure mathematicsPhilosophyCrystallographyBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.035
GPT teacher head0.248
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it