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Record W7135592626

The Omega publishing house in the Czech publishing landscape and its output of translated literature

2021· dissertation· cs· W7135592626 on OpenAlexaboutno aff
Anežka Dudková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2021
Typedissertation
Languagecs
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingCzechQuarter (Canadian coin)Field (mathematics)Publication
DOInot available

Abstract

fetched live from OpenAlex

The Omega publishing house began its activities in 2013, when it started publishing outdated translations of classic literature, especially those that were no longer protected by copyright. This thesis analyses its activities, mostly during the 2013-2018 period: it focuses on the range of published titles and changes in the editorial approach to texts, with emphasis on classic literature. The publishing houses' activities are examined within the field of Czech publishing landscape and compared to the methods recommended in specialised literature, as well as to other publishers's activites. The thesis then presents a translation and textual analysis of three works (R. Kipling's Selected Short Stories, E. Brontë's Wuthering Heights and C. Dickens's Little Dorrit) published by Omega. A hypothesis about the overall strategy of the publishing house is then formulated based on the findings. Key words: Omega publishing house, sociology of translation, praxeology of translation, publishing policy, editorial work, translator status

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.059
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.015
Science and technology studies0.0100.011
Scholarly communication0.0340.014
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.005

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 head0.020
GPT teacher head0.246
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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