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Conceptualização metafórica da anatomia em português: artérias, veias e nervos

2015· article· pt· W52830372 on OpenAlexaff
Paula Fernanda Malaszkiewicz, Sylvie Vandaele, Patrícia Chittoni Ramos Reuillard

Bibliographic record

VenueTradterm · 2015
Typearticle
Languagept
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

A partir dos anos 1980, a metáfora passou a ser estudada do ponto de vista conceptual, sendo reconhecida na linguagem científica. Pode-se apreender a conceptualização metafórica de uma área especializada através da identificação dos índices de conceptualização metafórica. No campo da tradução, o conhecimento dos índices e do modo de conceptualização é fundamental, pois estão ligados à fraseologia do domínio. Este artigo tem como objetivo mostrar os resultados de uma pesquisa que buscou identificar e descrever os índices de conceptualização metafórica utilizados em Anatomia na descrição do posicionamento das artérias, das veias e dos nervos em língua portuguesa, continuando um estudo já realizado em língua inglesa e francesa. Após terem sido identificados, os índices foram distribuídos em categorias de representação fictícia e nos modos de conceptualização identificados.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.208
GPT teacher head0.311
Teacher spread0.103 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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