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Record W180948087

Les nomenclatures anatomiques: histoire et traduction

2013· article· es· W180948087 on OpenAlex
Sylvie Vandaele, Mariane Gingras Harvey

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

VenuePanace@: Revista de Medicina, Lenguaje y Traducción · 2013
Typearticle
Languagees
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

espanolLas nomenclaturas anatomicas internacionales datan de finales del siglo xix. Surgieron en un momento en el que la pletora terminologica obstaculizaba la comunicacion entre los expertos, por lo que ha resultado dificil implantarlas. La traduccion desempena un papel fundamental en esta dinamica, pero cuesta encontrar el hilo de Ariadna porque la relacion entre la nomenclatura internacional y sus adaptaciones o sus rivales nacionales es compleja. Proponemos, pues, una tipologia de los principales problemas que entranan las nomenclaturas internacionales y francesas, y una estrategia de trabajo que podria aplicarse a todos los pares de lenguas. EnglishInternational anatomical nomenclatures date from the end of the 19th century. They appeared at a time when the plethora of terms hampered communication among experts, which made implementation of these nomenclatures difficult. Translation plays a fundamental role in this dynamic, but the relationship between the international nomenclature and its national adaptations or rivals is complex, and finding an Ariadne�s thread to guide us through this labyrinth of terms can be difficult. We therefore propose a typology of the major problems of both French and international nomenclatures, as well as a working strategy that could be applied to all language pairs. francaisLes nomenclatures anatomiques internationales remontent a la fin du xixe siecle. Apparues a un moment ou la plethore terminologique handicape la communication entre experts, leur implantation est difficile. La traduction joue un role essentiel dans cette dynamique, mais il est difficile de trouver le fil d�Ariane, car le rapport entre la nomenclature internationale et leurs adaptations ou leurs concurrentes nationales est complexe. Nous proposons donc une typologie des problemes principaux lies aux nomenclatures internationales et francaises, ainsi qu�une strategie de travail potentiellement applicable a toutes les paires de langues.

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)0.003
metaresearch head score (Gemma)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.029
GPT teacher head0.301
Teacher spread0.272 · 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