System-structural and Functional-semantic Features of Motion Verbs in Sports Discourse Based on the Kazakh, Russian and English Languages
Bibliographic record
Abstract
The relevance of the study lies in the fact that system-structural and functional-semantic features constitute the most important part of the linguistic system – a kind of basis in which ready communicative units of speech are produced. It is therefore only natural that these concepts have become an area of pioneering research in the functional linguistics of sports discourse. However, this is not confined to describing the pragmatics of speech, since the functions of grammatical units are performed within the language system. The syntactic properties of the sport forms in the position of the structural surface of the Kazakh, Russian and English languages constitute their main functional-semantic features and can be the object of functional syntax The aim of the research is to investigate the system-structural and functional-semantic facets of movement verbs in sports discourse in Kazakh, Russian and English. The basic prerequisite for the various functional versions is the consistent and coherent nature of the language system. In description practice, this means the interplay of grammatical categories and the consequent lack of clear-cut boundaries between the different levels of language – phonetics and morphology, vocabulary and grammar, morphology and syntax. The content and plan of the form of features, including morphological ones, are not reducible to formal manifestations: the same form of motion verbs usually belongs to several morphological categories. The interpretation of the form in a particular situation of use is determined by the factors external in relation to the category. With a grammatical form it is possible to express semantics that is not attributed to any particular form alone, since various linguistic means are involved in its realisation. The practical significance lies in determining the peculiarities of system-structural and functional-semantic mechanisms of motion verbs in sports discourse on the material of the respective languages.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".