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Record W2952356040

From Language to Philosophy and Back

2019· article· en· W2952356040 on OpenAlexaboutno aff
Bojan Borstner, Tomaž Onič, Simon Zupan

Bibliographic record

VenueUniversity of Maribor Press · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsMetaphorTranslation studiesSection (typography)Relation (database)Applied linguisticsDramaEnglish languageSociologyPhilosophyLiteratureComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

The monograph is dedicated to Dunja Jutronic, retired Professor of English Linguistics at the University of Maribor, on the occasion of her 75th birthday. The volume comprises three sections corresponding to the research efforts of Professor Jutronic: English and American Studies, Philosophy and Translation Studies. Topics in the first section range from media discourse analysis, the language of advertising and appraisal-based language, on the one hand, to Canadian Literature, drama and science fiction, on the other. The philosophical chapters address the questions of language intuition, the origins of language, metaphor, the language of thought and the relation between language and the notion of identity. The third section comprises chapters on conference interpreting, translators’ professional identity, culture-specific terms in literary translation, media reporting about the Olympics and the recontextualization of “superfoods” in online advertising.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.032
Scholarly communication0.0120.010
Open science0.0010.004
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0110.003

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 head0.199
Teacher spread0.176 · 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 designTheoretical or conceptual
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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