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Record W2519183946 · doi:10.51291/2377-7478.1124

Caterpillars, consciousness and the origins of mind

2016· article· en· W2519183946 on OpenAlexaff
Arthur S. Reber

Bibliographic record

VenueAnimal Sentience · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFractal and DNA sequence analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConsciousnessCognitive sciencePsychologySimple (philosophy)Experiential learningPerceptionAxiomEpistemologySubjectivityFocus (optics)CognitionQualiaNeural correlates of consciousnessConcept learningCognitive psychologyPhilosophyMathematicsNeuroscience

Abstract

fetched live from OpenAlex

A novel framework for the origins of consciousness and mind, the Cellular Basis of Consciousness (CBC), is presented. The model is based on a simple, perhaps radical axiom: subjectivity is an inherent feature of particular kinds of organic form. Experiential states, including those denoted as "mind" and "consciousness," are present in the most primitive species. The model has several conceptual and empirical virtues, among them: (a) it (re)solves the problem of how minds are created by brains ─ also known as the "Hard Problem" (Chalmers 1995) ─ by revealing that the apparent difficulty results from a category error, (b) it redirects the search for the origins of mind from complex neural structures to foundational biomechanical ones, and (c) it reformulates the long-term research focus from looking for "miracle moments" where a brain is suddenly capable of making a mind to discovering how complex and sophisticated cognitive, emotional and behavioral functions evolve from more primitive ones.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.008
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.224
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations64
Published2016
Admission routes1
Has abstractyes

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