Editorial: What is semiotics but a series of modeling
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
Abstract The present issue of Chinese Semiotic Studies is published in memory of Thomas A. Sebeok. Sebeok was not only a master semiotician, but more importantly a grand artist in semiotics. As one of the most important contemporary figures in semiotics, linguistics, ethnology, and cultural studies, Sebeok made profound contributions to the progress of global semiotics through his distinguished theoretical achievements and promotional activities. His works have proven to be so relevant that they continue to exert a determinative influence and provide directions for the development of semiotics and its many subdivisions, especially biosemiotics, beyond the 20th century. Now, 21 years into the present century, during which semiotic studies around the world have made remarkable progress, it is about time to highlight some specific ways in which his contributions will continue to shape and guide semiotic studies, demonstrating the relevance of these contributions to the 21st century challenges. To this end, this special issue presents some up-to-date and informed studies that explore Sebeok’s contributions to semiotics and their vital implications for fundamental problems relevant to humanity as a semiotic animal in the present day and in the rest of this century and beyond.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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