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Record W2522366949 · doi:10.1075/prag.26.3.06bla

“Que bé, <i>tu</i>! (« that’s great, <i>you</i>! »)”

2016· article· en· W2522366949 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePragmatics Quarterly Publication of the International Pragmatics Association (IPrA) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
FundersUniversitat de BarcelonaQueen's UniversityQueen's University Belfast
KeywordsPronounLinguisticsSubject pronounGrammaticalizationReflexive pronounCatalanPerspective (graphical)Object pronounSubject (documents)Discourse markerPsychologyComputer sciencePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The Catalan second person singular (2sg) pronoun tu (you) has acquired a wide range of pragmatic values in spoken registers that have received little or no attention from scholars in the field. The aim of the present article is to analyse a particular emerging use of the 2sg pronoun tu from a corpus-based perspective. In the light of Grammaticalisation Theory, it is argued that whereas in some contexts this pronoun maintains all or part of its referential function (e.g. as subject or as a vocative, respectively), in other contexts its use is very similar to that of an emphatic pragmatic marker. Data drawn from three spoken corpora suggest that the pronoun has consolidated this new use. Prosodic evidence is also provided to show the semantic and pragmatic changes undergone by the pronoun.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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