The Origin of Epistemic Structures and Proto-Representations
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
Organisms across species use the strategy of generating structures in their environment to lower cognitive complexity. Examples include pheromones, markers, color codes, etc. We provide a model of how such structures originate, and present a simulation where organisms with only reactive behavior learn, within their lifetime, to add such structures to their world to lower cognitive load. This implementation is then extended to show that the same underlying process could generate internal traces of the world (memories) in an internal environment. This model provides a novel account of the origin of internal representations. Further, as both external and internal traces are generated using the same mechanism, the model shows how an extended mind could be implemented. Also, as the stored internal traces develop entirely out of actions, these action components could be activated implicitly. This feature explains the origin of enactable and action-oriented mental content, suggested by recent experiments.
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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