MétaCan
Menu
Back to cohort
Record W1995208062 · doi:10.1075/livy.7.07mat

Evidentials as epistemic modals: Evidence from St'át'imcets

2007· article· en· W1995208062 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

VenueLinguistic Variation Yearbook · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsModal verbEpistemic modalityEvidentialityCertaintyArgument (complex analysis)LinguisticsModality (human–computer interaction)ModalPhilosophyEpistemologyPsychologyComputer scienceArtificial intelligenceVerb

Abstract

fetched live from OpenAlex

This paper argues that evidential clitics in St’át’imcets (a.k.a. Lillooet; Northern Interior Salish) must be analyzed as epistemic modals.We apply a range of tests which distinguish the modal analysis from the main alternative contender (an illocutionary operator analysis, as in Faller 2002), and show that the St’át’imcets evidentials obey the predictions of a modal analysis. Our results support the growing body of evidence that the functions of encoding information source and epistemic modality are not necessarily distinct. The St’át’imcets data further provide a novel argument against the claim that evidentiality and epistemic modality are separate categories. Many authors argue that evidentials differ from modals in that the former do not encode speaker certainty (see, e.g., de Haan 1999; Aikhenvald 2004).We argue that modals are also not required to encode speaker certainty; we provide evidence from St’át’imcets that marking quantificational strength is not an intrinsic property of modal elements.

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)0.002
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.046
GPT teacher head0.288
Teacher spread0.241 · 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