Information, representation, and cognition
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
This article discusses the concept of information in the context of its application in theories of cognition mainly those based on the idea of consciousness as information processing. The concept of Natural Information is presented as a complement to the classic Shannon’s information model by shifting the focus of the information concept from the message to the entire communication system. This model proposes that: (1) Information is not something itself but it is always about something; (2) Information is not an object but a relationship; (3) Information is an emergent property of interfaces; (4) Information is the subset of elements of a given instance connected, related, caused, or paired with elements of another instance; (5) Information is present in the universe at all organizational levels including mental states; (6) Information is physically made of the same substance as the instance that acquires the information. We introduce the concepts of codable and non-codable elements of information to account for the emergence of meaning and qualia. The contribution of these concepts to the discussions about the emergence of meaning and the structure of self are discussed. We propose this model as a road map to describe information processing in mental processes locating classic ideas and old problems in the context of new concepts. Our model is still a work in progress aiming to contribute to the understanding of the role of information in computational, psychological, and social contexts.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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