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 This paper provides an integrative and updated view of modeling in semiotics. It postulates that the essence of modeling is supersession. In any act or instance of modeling, the model supersedes and is brought to the front for salience, accessibility, and operability, whereas at the same time the modeled recedes and exists in the background, inaccessible and inoperable. The paper goes on to differentiate between two major types of modeling, the underlying “existential modeling,” functioning as the fundamental scaffold and the genuine foundation of all other types of modeling as we know them, and the overlaying “semiotic modeling,” designating the process of creation and use of “forms of meaning,” a process that underlies both cognition and communication. By focusing on semiotic modeling, the paper features an unconventional view that casts a new light on the relation between a model and a sign and thus the relation between semiotic modeling and semiosis. Endorsing an embodied approach to meaning-making as semiotic modeling, the paper finds it important to stress the appropriateness and necessity of understanding the term “model” as a verb rather than as a noun, in that modeling is never static and should be properly regarded in terms of embodied action.
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 | 0.000 | 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) | 0.000 | 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