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Record W3164897605 · doi:10.25115/oralia.v23i1.6593

El discurso de los lectores españoles en las celebraciones litúrgicas: características y deficiencias no verbales

2021· article· es· W3164897605 on OpenAlexaff
Fernando Poyatos

Bibliographic record

VenueOralia análisis del discurso oral · 2021
Typearticle
Languagees
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Las deficiencias en la lectura de textos bíblicos en la Misa católica en España–no siempre debidas al nivel socioeducacional de los lectores, sino a su grado de sensibilidad personal hacia esos textos y a su falta de formación bíblica y litúrgica– justifica, como fenómeno sociolingüístico peculiar, un análisis de ese discurso oral leído. Estas deficiencias dependen concretamente: del uso incorrecto de una de las categorías del paralenguaje, las ‘cualidades primarias’; de la interpretación de los signos puntuarios (no siempre correctos en los textos), esenciales en el discurso leído; de las funciones de los significativos, pero a menudo ignorados, silencios o pausas; en mucho menor grado, del gesto dentro de la triple estructura lenguaje verbal-paralenguaje-kinésica; y de la existencia de ciertos ejes interactivos definidos por dos posibles modos de mirada: hablada y silenciosa.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.021
GPT teacher head0.339
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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