<i>“Deneg net, no vy derzhites' (There’s No Money, but Hang in There)”</i>: New Stable Combinations Associated with the Concept “Money, Finance” in the Russian of the Late 20<sup>th</sup> Century — the first Quarter of the 21<sup>st</sup> Century
Bibliographic record
Abstract
The article is devoted to Russian phraseological neologisms representing the concept “money”. Various stable verbal complexes revealing formal and semantic unity in Russian of the late 20th century — the first quarter of the 21st centuries are studied. Neological dictionaries and Internet sources served as the research basis. The material was organized as an ideographic group with thematic blocks within it. In this group there are traditional units replenished with new items (blocks “earn money”, “cause monetary damage”, “difficult economic situation”) and new thematic units reflecting changing reality (blocks “legality of receiving money”, “inflation”, “distribution of (state) funds”, “financial fraud”). Ideographic group “money” is supplemented by idioms, phraseological combinations, compound names, periphrases, phraseological expressions. Original Russian units, borrowings-calques and conditionally authorial expressions are registered. Structurally units correspond to collocations, phrases, prepositional-case combinations. A number of colloquial and professional terminological expressions stand out. Analyzed combinations show low degree of stability and difficulty in deriving the initial form. This structural instability is explained not only by the neological status of the units, but also by such feature of modern phraseology as the greater significance of the image than the unit component structure. At the example of combinations based on the image of printing money it is demonstrated that the internal image of a collocation unites a number of items and turns out to be more significant than the structure of phraseological neologism. In general, the phraseosemantic field “money” in modern Russian is undergoing both quantitative and qualitative changes, but remains productive and nationally specific.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".