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Record W2774940330 · doi:10.24197/her.19.2017.139-163

Metaphors in Wine-tasting Notes in English and Spanish

2017· article· es· W2774940330 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

VenueHermeneus · 2017
Typearticle
Languagees
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsCanadian Virtual University
Fundersnot available
KeywordsHumanitiesPhilosophyWine tastingArtWine

Abstract

fetched live from OpenAlex

La metáfora conceptual, para la lingüística cognitiva, implica entender un dominio semántico en términos de otro. A menudo se ha considerado que las asociaciones conceptuales son universales, unidireccionales y dependientes del uso. Sin embargo, el concepto de universalidad es muy controvertido ya que enfrenta dos conceptos, el de universalidad y el de cultura; es decir, diferentes culturas pueden transmitir la misma realidad usando diferentes recursos metafóricos. El objetivo de este artículo es comprobar el concepto de universalidad en el lenguaje metafórico de fichas de cata escritas por expertos. Nuestra metodología implica la identificación de las metáforas de acuerdo con determinados términos clave y su posterior análisis en términos cualitativos y cuantitativos. Nuestros resultados demuestran que las diferencias entre las culturas implicadas no parecen afectar al uso metafórico en las fichas de cata.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.304
Teacher spread0.279 · 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