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Record W2149462722

An Argumental Position for Preverbal Subjects in Bulgarian

2013· article· en· W2149462722 on OpenAlexaff
Virginia Motapanyane

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBulgarianWord orderLinguisticsSubject (documents)Alternation (linguistics)Generative grammarRomanianMovement (music)Word (group theory)Position (finance)Minimalist programGrammarComputer sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Balkan languages present a relatively free word order that allows for the alternation of 5 VO/VSO in unmarked sentences. Current studies in generative grammar consider V 5 0 to be the basic word order for lan-guages such as Bulgarian and Romanian (see Rudin 1992 and Dobrovie-Sorin 1990); SVO is then derived through subject movement to a non-argumental preverbal position. This paper will argue that, in Bulgarian, the 5VO word order is derived by NP-movement and not by fronting, and that the preverbal subject position is an argumental or A-position. Tests will show that the positions for fronted constituents are hierarchically and typically distinct from the position which receives the subject. 1. INTRODUCTION1 In her study of Bulgarian preverbal positions, Rudin (1992) proposes an analysis of clausal structure according to which the preverbal subject posi-

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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; a candidate call from one teacher head, not a consensus.

Study designQualitative
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
Published2013
Admission routes1
Has abstractyes

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