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Record W1490234539 · doi:10.5565/rev/catjl.51

Wh-questions in Spanish: Meanings and Configuration Variability

2003· article· en· W1490234539 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

VenueCatalan Journal of Linguistics · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHumanitiesContext (archaeology)ArtGeography

Abstract

fetched live from OpenAlex

This paper describes the distinct tonal configurations of wh-questions in Spanish and discusses their possible correlations with pragmatic and interactional meanings. The data consisted of both read and spontaneous speech from four Latin American varieties. Two of the dialects, Mexican and Colombian, as opposed to Venezuelan and Puerto Rican, showed a marked preference for rising contours in read speech, while in interviews virtually no such contours occurred for any of the speakers. A different kind of rising contour did regularly occur in the natural speech data, a globally rising contour without a dip before the final high rise, used for confirmation or reprise whquestions. The conclusion of this study is that the unmarked configuration is indeed the gradually descending one, as described in the literature. This applies to all the dialects here examined, in spite of the variability of the contours, which is context-induced and related to information structure.

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)0.001
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
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)0.0000.000

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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