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Record W3192924866 · doi:10.7202/1079321ar

Translations not in the making? Rejections, disruptions and impasses in translator–publisher correspondence

2021· article· en· W3192924866 on OpenAlexvenueno aff
Outi Paloposki

Bibliographic record

VenueMeta Journal des traducteurs · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsFocus (optics)Event (particle physics)ContingencySet (abstract data type)PublishingPhenomenonProcess (computing)Translation (biology)SociologyWork (physics)Computer scienceEpistemologyLinguisticsHistoryPhilosophyLiteratureEngineeringArt

Abstract

fetched live from OpenAlex

This is a study of a frequently occurring but seldom studied phenomenon: that of proposed translations, rejections and disruptions in translators’ work. The study is based on the correspondence of 64 translators in the archive of the Werner Söderström (WSOY) publishing house in Finland between the 1880s and the 1940s. It deals with around 180 translator suggestions and an almost equal number of rejections discovered in translator–publisher correspondence. The research draws on actor-network theory and its focus is on emergent processes and controversies, exploring the events and decisions as they unfold in the archived interaction between translators and publishers. The large number of rejections, the various kinds of disrupted processes in the making of translations and the contingency of the translation event are set in high relief. Studying the way translations come into being – or do not come into being, as is often the case – shifts the focus from translations as products to the translation event: disruptions and impasses, it will be shown, constitute a significant share of translators’ and editors’ work and are crucial in understanding the translation process.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.994

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 communication0.0010.001
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 head0.105
GPT teacher head0.322
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2021
Admission routes1
Has abstractyes

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