A Pioneering Lexicographic Work: “New Explanatory Dictionary of Russian Synonyms” by Jurij Apresjan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper describes an innovative lexicographic product published in Moscow in the late 1990s—Ju. Apresjan’s New Explanatory Dictionary of Russian Synonyms [NEDRS]. NEDRS is essentially based on Apresjan’s theory of systemic lexicography and integral linguistic description. His introduction to NEDRS proposes several new important linguistic notions, such as lexicographic type, lexicographic portrait (of a lexeme), the dominant of a synonym series, etc. The main characteristic of NEDRS is the wealth and precision of the linguistic information supplied: thus, it specifies the referential and communicative status of the lexeme under consideration and its actants, the type of the speech act expressed, the capacity of constituting an independent utterance, etc.; in particular, it offers meticulous and exact analyses of semantic distinctions between synonyms. Such data were not provided before in other dictionaries. At the same time, NEDRS is extremely reader-friendly.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it