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Record W3200224272 · doi:10.14288/1.0401813

Relative pronominal tense : evidence from Gitksan, Japanese, and English

2021· article· en· W3200224272 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

VenuecIRcle (University of British Columbia) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLinguisticsHistoryPhilosophy

Abstract

fetched live from OpenAlex

This thesis investigates properties of tenses in English, Japanese, and Gitksan (Tsimshianic) with regards to the two major dimensions along which tense denotations can differ: 1) pronominal (Partee 1973; Enç 1987; Heim 1994) vs. existential (Ogihara 1989; von Stechow 2009) and 2) relative (Smith 1991; Ogihara 1989; Kusumoto 1999) vs. absolute (Comrie 1976; Dowty 1982). The past tense in English, the past and non-past tenses in Japanese, and the covert non-future tense in Gitksan will all receive relative pronominal denotations. An alternative analysis of Gitksan without a tense operator is also developed but eventually discarded in light of novel data before/after clauses. Taking this investigation of the three languages as a case study, this thesis also tackles a larger theoretical question: what is the empirical evidence for pronominal vs. existential and relative vs. absolute tenses? Teasing apart these two dimensions from each other as well as from the sequence of tense (SOT) issue, this thesis re-examines the existing empirical diagnostics of each tense property; are they sufficient conditions or merely necessary conditions? Are there alternative explanations for the empirical phenomena? To answer these questions, within each language, behaviours of the tenses are investigated across matrix clauses, attitude complements, relative clauses, and before/after clauses. From a cross-linguistic perspective, the three languages present both distinct puzzles and similarities with each other: English and Japanese are both overtly tensed and have been treated as canonical examples of SOT (Comrie 1985; Enç 1987) and non-SOT (Ogihara 1989; Kusumoto 1999) languages, respectively. English and Gitksan both have a dedicated future marker (Jóhannsdóttir and Matthewson 2007), and SOT constructions in English and non-future sentences in Gitksan exhibit similar temporal flexibility. Japanese and Gitksan both have a two-way distinction: Japanese has an overt past-non-past system, and Gitksan has a future-non-future system with a covert non-future tense; both languages rely on the Bennett and Partee (1987) effect to resolve temporal interpretations, as do SOT constructions in English. The results call for similar investigations across syntactic contexts to obtain a comprehensive picture of the temporal system in any given language.

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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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.181
Teacher spread0.161 · 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