A Perceptual Meta-model based on the Ontology of Mental Models
Why this work is in the frame
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Bibliographic record
Abstract
Studying the process of perception, various definitions can be achieved that each poses general steps of this process. In this paper, perception is tried to be broken down into smaller processes and consequently propose a meta-model to describe this cognitive process as a three-layer design including sensory perception, logical perception, and meaning perception. Considering mental model which explains thinking functionality in human, a two-way connection can be generated between perception and mental model, and then the nature of this connection will be surveyed so that a different mental model will be proposed for each perception layer. In addition, behaviors (outputs) will be described as they are based on mental models resulted from perception layers. After all, the proposed model will be developed through studying the Elementary Loop of Functioning (ELF) and perceptual processes will be described based on this adaption.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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