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Terminological collocations in different types of medical discourse

2025· article· en· W4411327197 on OpenAlexaboutno aff
Oksana O. Lyamova

Bibliographic record

VenueSovremennye issledovaniya sotsialnykh problem · 2025
Typearticle
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsPsychologySociologyPhilosophy

Abstract

fetched live from OpenAlex

Background. Every language is full of collocations. It is almost impossible to speak without collocations because the meaning of any word is determined and specified by the company it keeps. Collocations are widely used in all spheres of life and various types of professional discourse. Medical discourse is a special linguistic subsystem designed for professional communication, where a doctor acts as the communicative leader. Terminological collocations are actively used in authentic medical texts, publications, and doctor-patient communication. We should always keep in mind that the general meaning of such combinations is not equal to the meaning of each component, they cannot always be translated word by word, that`s why correct translation and use of terminological collocations is extremely important while working with medical information. Purpose – to analyze the lexical content of well-known courses of medical English, authentic dictionaries and textbooks on medicine to identify and classify the main models of terminological collocations in different types of medical discourse. Materials and methods. Contemporary courses of medical English: «Check Your English Vocabulary for Medicine» (A&C Black); «Medicine 1 / 2» (S. McCarter); «Nursing 1 / 2» (T. Grice); «Professional English in Use: Medical» (E.H. Glendinning); «Test Your Professional English: Medical» (A. Pohl); some medical dictionaries (London Dictionary of Medical Terms, Dictionary of Nursing, Illustrated Medical Dictionary) and textbooks on general and clinical medicine: Anatomy and Physiology for Health Professionals (J. Moini); Eyewitness. Human Body (R. Walker); How it Works Book of the Human Body (Imagine Publishing Ltd); The Facts on File Illustrated Guide to the Human Body (The Diagram Group), Harrison`s Pulmonary and Critical Care Medicine (McGraw-Hill Education), Williams Textbook of Endocrinology (S. Melmed et al.), Nadas' Pediatric Cardiology (Elsevier Inc.), Shaw’s Textbook of Gynaecology (V.G. Padubidri, S.N. Daftary), Adams and Victor’s Principles of Neurology (A.H. Ropper et al.), Pediatric Otolaryngology. Principles and Practice Pathways (R.F. Wetmore, H.R. Muntz, T.J. McGill), etc. Results. Analysis of the lexical content shows that each type of medical discourse is attributed by the following semantic groups of terminological collocations: collocations describing the structure and work of the human body ("anatomy and physiology"); word combinations naming the most common symptoms and signs of different diseases ("signs and symptoms"); collocations naming diseases and conditions of various organs and systems («diseases and conditions»); combinations describing medical personnel, instruments, medicines, technologies used in diagnosis and treatment ("diagnosis and treatment"). A special group includes terminological collocations, which are considered to be proper names. The article presents different examples of the most common terminological collocations used in various types of medical discourse (cardiology, pulmonology, gastroenterology, neurology, endocrinology).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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