Learning and knowing as semiosis: Extending the conceptual apparatus of semiotics
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
If all knowing comes from semiosis, more concepts should be added to the semiotic toolbox. However, semiotic concepts must be defined via other semiotic concepts. We observe an opportunity to advance the state-of-the-art in semiotics by defining concepts of cognitive processes and phenomena via semiotic terms. In particular, we focus on concepts of relevance for theory of knowledge, such as learning, knowing, affordance, scaffolding, resources, competence, memory, and a few others. For these, we provide preliminary definitions from a semiotic perspective, which also explicates their interrelatedness. Redefining these terms this way helps to avoid both physicalism and psychologism, showcasing the epistemological dimensions of environmental situatedness through the semiotic understanding of organisms’ fittedness with their environments. Following our review and presentation of each concept, we briefly discuss the significance of our embedded redefinitions in contributing to a semiotic theory of knowing that has relevance to both the humanities and the life sciences, while not forgetting their relevance to education and psychology, but also social semiotic and multimodality studies.
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 | 0.002 | 0.002 |
| 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 | 0.001 |
| 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