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Record W4390056783 · doi:10.33137/twpl.v46i1.39254

Unpacking -ish: a bimorphemic account of Kirundi causatives

2023· article· en· W4390056783 on OpenAlex
Willie Myers

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueToronto Working Papers in Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
FundersMcGill University
KeywordsCausativeLinguisticsBantu languagesValencySuffixVerbArgument (complex analysis)Head (geology)PreorderMathematicsPhilosophyBiologyDiscrete mathematics

Abstract

fetched live from OpenAlex


 
 
 This paper provides a description and analysis of morphological causative constructions in Kirundi. I show that the causative inter- pretation of Kirundi’s two causative suffixes, -i and -ish, can be explained by a single syntactic structure. To do so, I demonstrate that the phonological and syntactic properties of -ish causatives re- quire a bimorphemic account wherein the suffix is derived from two functionally different heads: an unaccusative v head embedded by a higher Causative head. I present new empirical data collected from fieldwork in order to support these claims and fill a gap in the exist- ing documentation of the argument structure of Bantu causatives. In addition to presenting a singular account of Kirundi causative syn- tax, the proposal sheds light on cross-linguistic variation in the struc- ture of v/Voice and valency-effecting morphology, with implications for formal typologies of causatives.
 
 

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.271
Teacher spread0.229 · 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