MODERN PROBLEMS OF CONCEPTUAL AND TERMINOLOGICAL APPARATUS IN THE FIELD OF LAND RECLAMATION
Bibliographic record
Abstract
Introduction.The «terminological crisis» in the field of land reclamation is long overdue.It consists in the widespread penetration of foreign terms into the Russian language, the replacement of Russian words with foreign synonyms.This situation is observed not only in colloquial speech, but also in regulatory documents.In this regard, the aim of the study is to assess and establish the possibility, appropriateness and legitimacy of the use of the term synonym «irrigation» instead of «Irrigation» in the field of land reclamation. Object.The object of research is the synonymous terms "irrigation" and "irrigation", used in reclamation activities.Materials and methods.The research methodology was based on general scientific (analysis, synthesis, generalization, deduction, induction and historical method) and private-scientific (formally legal, comparative legal, method of legal modeling and interpretation of law) methods of cognition.The empirical basis of the study included the provisions of regulatory documents, terminological dictionaries, scientific articles published in periodicals.Results and conclusions.The analysis of various regulatory documents revealed that the uncertainty and inaccuracy, and, consequently, the misunderstanding of the use of certain terms, now leads to their ambiguous (ambiguous) interpretation in law enforcement practice, and this in turn leads to legal problems and causes discrepancies between specialists when considering the same issue or solving the same problem.The reasons for the widespread use of the term «irrigation» in the countries of Central Asia, the USA, Canada, China, and India are considered.The necessity of legal protection of the Russian language as the state language in Russia is established.The provisions of the Federal Law «On Land Reclamation» are given, which enshrined the basic terms and their definitions in the field of land reclamation.Existing synonyms for the terms «irrigation» and «irrigation» are analyzed.It is concluded that it is inadmissible to borrow a foreign term instead of the Russian language that is available and understandable to the citizens of the country and the need to develop a single regulatory document governing terminology in the field of land reclamation, or a system of such documents.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.004 | 0.070 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".