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Record W2971682360 · doi:10.12797/moap.25.2019.45.06

Les quatrièmes de couverture comme lieu d’inscription d’une représentation de la littérature traduite : romans canadiens d’expression française en traduction polonaise (2000-2016)

2019· article· en· W2971682360 on OpenAlexaboutno aff
Elżbieta Skibińska

Bibliographic record

VenueMiędzy Oryginałem a Przekładem · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCover (algebra)Period (music)ArtFrenchFantasyHumanitiesArt historyHistoryLiteratureAesthetics

Abstract

fetched live from OpenAlex

The Back Cover as a Place for Creating an Image of Translated Literature: Polish Translations of French-Canadian Novels (2000-2016)
 The back cover of a book contains peritext added by the publisher, with a double function of information (about the author and the work) and invitation to read the book. That is why it also becomes the place where publishers decide on a certain image of the books. For this study, we have collected back cover texts from French-Canadian novels which were published in the Polish translation in the years 2000-2016, and we have considered them as a certain image of this literature given to the Polish reader by the publishers. These texts are also a source of information about this literature for the readers. The results of the analysis of the covers of 27 novels published in Poland in the studied period allow us to state that this image is deformed and simplified: it does not reflect the language and regional differences of Canadian literature today. The works themselves belong to such genres as fantasy, thriller or chick lit: they are attractive, pleasant to read, often awarded and adapted for the screen. The “cover image” of the French-Canadian literature given by Polish translations reflects rather the strategy of their publishers: it seems that their choices of translated works are directed mainly by economic prudence.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.267
Teacher spread0.243 · 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
Published2019
Admission routes1
Has abstractyes

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