THE ABBREVIATIVE ADVERBS OF THE UKRAINIAN LANGUAGE AS A MEANS OF LINGUISTIC ECONOMY IN THE SOCIAL MEDIA COMMUNICATION OF THE FIRST QUARTER OF THE 21ST CENTURY
Bibliographic record
Abstract
The article deals with the abbreviative adverbs and their role in linguistic economy of social media communication. The aim of the study is to identify the adverbs with the morpheme-abbreviation root as the newest derivatives, to study their structure, syntactic role and stylistic functions. We associate their emergence, in particular, with the principle of linguistic economy, which consists in simplifying speech efforts and is caused by the linguistic pragmatism of speakers. Social media communication in the first quarter of the 21st century has promoted the formation of capacious derivatives. Applying empirical research methods (observation, comparison, description), information and parametric analysis, analogy, heuristic methods, developing our research by the scientific induction method, we have found out that abbreviative adverbs formed from an adjectival abbreviative base constitute a small group of such derivatives, since not all adjectives of the Ukrainian language are capable of providing a derivational basis for adverbs. The scientific novelty of the study lies in the fact that the analysis of abbreviative adverbs has not been covered to present extent in any studies before. We have come to the conclusions that today abbreviative adverbs are motivated only by abbreviative adjectival bases, at the same time most of abbreviative adverbs belong to the category of action mode and only a few adverbs are attributive. Most often, abbreviative adverbs occur as a substitute for syntagmatic constructions that are more capacious in terms of the number of linguistic signs – comparative phrases with an abbreviature as a main word. The process of abbreviative adverbs assimilation by the native speakers of Ukrainian language is also noticeable: in some syntactic constructions, there is a transition of adverb from its traditional prepredicate position (as a predicate modifier in place of a comparative syntactic construction) to the role of a subject modifier, a predicate or a modal word.
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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 | 0.001 | 0.002 |
| 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 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".