Linguistics in the Framework of Three-Dimensional Logo: Letter, Note, Numeral
Bibliographic record
Abstract
The task of the article is return prosody to linguistics, to turn linguistics to speech, to voice content. For this, linguistics rises to the logo. It is shown that the logo as such is divided into three hypostases: the verbal logo, the musical logo (melos) and mathematical logo. The results of objectifications (Entӓusserung, Gegenstӓndlichkeit in German) of these components are expressed respectively by letters, notes and numerals. Each of the three components has two aspects that the author calls styles. The verbal logo has a prosaic and poetic style; musical logo has vocal (voice) and musical-instrumental style; mathematical logo has a logical style and a historical style. Martin Heidegger showed that the logo is inextricable linked with time. The projection of time on the created images ̶ verbal and poetic (letters), musical (notes), mathematical (numеrals) ̶ allows you to fill them with life, to give them a natural look. Thus, orientation to the logos leads the linguist to a wider understanding of the subject of linguistics in comparison with the previous, narrowed version of its interpretation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".