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
The human brain is a superbly marvelous and extremely complicated neurophysiological structure for generating natural intelligence that transforms cognitive information into colorful behaviors. The brain is the most complex and interesting objects in nature that requires rigorous scientific investigations by multidisciplinary methodologies and via transdisciplinary approaches where only low-level studies could not explain it. A fundamental problem and difficulty in contemporary brain science is the indistinguishable confusion of the cognitive mechanisms and neurophysiological structures of the kernel brain and its memories. This paper presents a set of formal neuroinformatics models of memory and a rigorous mapping between the cognitive functions of memory and their neurophysiological structures. The neurophysiological foundations of memory are rigorously described based on comprehensive cognitive models of memory. The cognitive architecture of human memory and its relationship to the intelligence power of the brain are logically analyzed. The cognitive roles of memory allocated in both cerebrum and cerebellum are revealed by mapping the functional models of memory onto corresponding neurophysiological structures of the brain. As a result, fundamental properties of memory and knowledge as well as their neurophysiological forms in the brain are systematically explained.
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 | 0.002 |
| Open science | 0.001 | 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