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Record W6893195310 · doi:10.5281/zenodo.14911288

A Perceptual Meta-model based on the Ontology of Mental Models

2025· article· en· W6893195310 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldComputer Science
TopicCognitive Computing and Networks
Canadian institutionsRegional Municipality of Niagara
Fundersnot available
KeywordsPerceptionMeaning (existential)Process (computing)Mental modelOntologyMental operationsCognitionMental representation

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.081
GPT teacher head0.268
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it