Development of Punctuation theory in First Quarter of 21<sup>st</sup> Century: Main Trends
Bibliographic record
Abstract
A generalization of the main trends in the development of the Russian and English punctuation theory in the first quarter of the 21st century is presented, namely, relatively stable trends in the analysis of punctuation within the framework of the communicative-pragmatic approach and punctuation activity in its functional diversity. The relevance of the study lies in the following: there is still no idea of what has been done in the theory of punctuation in the first quarter of the 21st century and what are the main trends in its development. The novelty of the study is in the disclosure of how the theory of punctuation is covered through the prism of a communicative-pragmatic approach. An analysis of the development of punctuation theory in the first quarter of the 21st century is based on Russian and English publications from 2000 to 2021. It is shown how in the theory of punctuation of the first quarter of the 21st century, on the basis of a communicative-pragmatic approach, the principles and functions of punctuation, the relationship between the punctuation mark and the punctuation position, the grounds for the priority of punctuation marks, the verbalization of punctuation marks, punctuation variance, the semantic potential of punctuation, textual punctuation are considered. In addition, it is demonstrated how the functional diversity of punctuation activity, including the use of punctuation marks in computer-mediated communication is covered.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".