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Record W4233643685 · doi:10.1017/s0008413100001079

Agreement Paradigms across Moods and Tenses: The Case of Romanian Subjunctives and Imperatives

2009· article· en· W4233643685 on OpenAlexaff
Mihaela Pirvulescu

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLinguisticsAgreementPresent tenseAllomorphRomanianRepresentation (politics)Realization (probability)Past tensePsychologyRomance languagesDependent clauseMorphemeVerbPhilosophyMathematicsPolitical science

Abstract

fetched live from OpenAlex

Abstract This article argues that the realization of agreement in subjunctive and imperative verbs is a consequence of the syntactic status of Tense in these two moods. Crucially, certain agreement paradigms across Romance languages show very a close resemblance: the subjunctive and imperative paradigms are identical, in most cases, to the indicative paradigms. Systematically, moods such as the subjunctive and the imperative do not show specific tense affixes or specific tense-induced allomorphy on their agreement affixes. The proposal is illustrated with Romanian verbal agreement, which is analyzed within the Distributed Morphology framework. The analysis shows that tense information is not used in subjunctive and imperative agreement morphology, unless it is exactly the same information as in another paradigm — the present indicative. It is proposed that at the syntactic level, Tense is unspecified in the subjunctive and absent in the imperative, and that the realization of agreement affixes is a consequence of this syntactic representation.

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)0.002
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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