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Record W6982817843

Komentovaný překlad: Přírodní formy, in: Ethan Matt Kavaler: Renesanční gotika. Architektura a umění severní Evropy: 1470 - 1540. New Haven, London: Yale University Press, 2012, str. 199-229. (ISBN 978-0-300-16792-4)

2014· dissertation· en· W6982817843 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2014
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorThe RenaissanceTranslation studiesNatural (archaeology)The artsArchitectureQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

(in English): The purpose of this bachelor thesis is to translate a part of the chapter Natural Forms from the book Renaissance Gothic. Architecture and the Arts in Northern Europe 1470 - 1540 written by Ethan Matt Kavaler, a Canadian professor of art history. In the commentary that follows the translation the author considers the specific factors that have influenced the genesis of the original. Then, she analyses its lexical and stylistic features and characterizes the text as an essay of considerable qualities. Drawing upon the analysis the author describes the translation problems and the translator's strategies employed to solve them. She attempts to identify the translation shifts and discusses the reasons of their occurrence. It is observed that the translation tends to be more explicit, uses more variable language solutions and some solutions of increased expressive intensity. This tendency is consistent with the effort to adapt the translation to the target language culture and to preserve the quality of the original.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.207
Teacher spread0.194 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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