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Record W4404697548 · doi:10.3390/languages9120358

Pluractional Motion Verbs in Turkish

2024· article· en· W4404697548 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.

Bibliographic record

VenueLanguages · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPluralSuffixPredicate (mathematical logic)LinguisticsStipulationComputer scienceMathematicsArtificial intelligencePhilosophyProgramming language

Abstract

fetched live from OpenAlex

In this paper, we examine a small set of motion verbs in Turkish bearing the so-called ‘reciprocal’ suffix -(I)ş: kaç-ış- ‘flee in all directions’ (cf. kaç- ‘flee’), koş-uş- ‘run helter-skelter’ (cf. koş- ‘run’), uç-uş- ‘fly helter-skelter’ (cf. uç- ‘fly’). It has previously been claimed that these are collective or sociative verbs entailing a low elaboration of events and/or plural participants. We show that these -(I)ş-marked verbs, in fact, require a higher degree of individuation of events than do their unmarked counterparts. Furthermore, we show that a stipulation directly associating the suffix with a requirement for a plural subject is both unnecessary and inadequate. Instead, we propose that the pluractional under investigation manipulates the denoted events’ spatial and temporal properties in such a way that the predicate can only be felicitously used if it combines with a plural external argument.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.527
Threshold uncertainty score0.998

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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