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Record W7154611297 · doi:10.7202/1124411ar

Terminological Impoverishment: The Effects of Contemporary Scholarly Publishing Practices on Terminology and Knowledge Dissemination

2025· article· fr· W7154611297 on OpenAlexaffvenue
Lynne Bowker

Bibliographic record

VenueTTR traduction terminologie rédaction · 2025
Typearticle
Languagefr
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTerminologyPublishingIndigenousTraditional knowledgeOrder (exchange)VisibilityHegemonyIndigenous languageLanguage planning

Abstract

fetched live from OpenAlex

Historically, translation played a key role in knowledge dissemination, but since the mid 20 th century, scholarly publishing has moved steadily towards the use of a central language (English). Colonial practices, the incentivization of publishing in English, and the lag (or lack) of term development in other languages has led to the terminological impoverishment of many of these languages across multiple research domains. Consequences include the continued hegemony of English language and western culture and epistemologies, limited uptake of research findings in non-Anglophone communities, and a digital gap between English and other languages with regard to the development of linguistic resources and tools. Emerging approaches for addressing terminological impoverishment include terminology planning, retro-terminologization, broader consultation with communities (including Indigenous communities), and developing resources and tools for low-resource languages. In parallel, it is critical to recognize that reforms to research assessment are needed to value and encourage knowledge dissemination in languages beyond English, and that terminologists must raise the visibility of their profession and skills in order to be included in more efforts aimed at rectifying terminological impoverishment in scholarly research fields.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0010.003
Open science0.0000.000
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 head0.075
GPT teacher head0.338
Teacher spread0.263 · 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
Published2025
Admission routes2
Has abstractyes

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