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Record W7125943937 · doi:10.18148/lfg/2024.v29i.49

Fusional morphology, metasyncretism, and secondary exponence

2024· article· en· W7125943937 on OpenAlexaff
Ash Asudeh, Bronwyn M. Bjorkman, Frances Dowle, Neil Myler, Daniel Siddiqi, Lisa Sullivan

Bibliographic record

VenueOpen MIND · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsQueen's UniversityCarleton University
Fundersnot available
KeywordsMacroVocabularySyncretism (linguistics)GrammarFeature (linguistics)PhenomenonValue (mathematics)

Abstract

fetched live from OpenAlex

Using Latin as a case study, we show that Lexical-Realizational Functional Grammar (a union between a morpheme-based realizational morphology and the nonderivational, constraint-based syntactic framework of Lexical-Functional Grammar) is able to offer insights into two fundamentally important morphological phenomena. The first of these is metasyncretism, which is of particular interest because it is a (putative) paradigmatic effect, yet LRFG does not have paradigms as theoretical objects. Syncretism is captured via cascading macros (i.e., templates), such that a macro for one case value may also call another macro with a different case value, leading to case containment which models a feature hierarchy. We also use the same approach for gender and number. Metasyncretism is handled through a single vocabulary item mapping to a disjunction of two or more possible exponents. The second phenomenon of interest is secondary exponence (or morphological conditioning). This is handled through the addition of constraints to the (relevant) vocabulary items corresponding to their conditioning environments.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0480.001

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.

Opus teacher head0.049
GPT teacher head0.284
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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