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Record W3114416920 · doi:10.5539/ijps.v13n1p1

Consciousness is Primary: Science of Consciousness for the 21st Century

2020· article· en· W3114416920 on OpenAlexvenueno aff
Frederick Travis

Bibliographic record

VenueInternational Journal of Psychological Studies · 2020
Typearticle
Languageen
FieldNeuroscience
TopicCognitive Science and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsConsciousnessTranscendental numberPsychologyEpistemologyField (mathematics)Social consciousnessPhilosophyMathematics

Abstract

fetched live from OpenAlex

In the 20th century, the understanding of matter was transformed from a world of classical objects to a world of probabilities that were excitations of non-material quantum fields. Psychology may be involved in a similar transformation. In the 20th century, psychological models included specific “classical” content such as memories, attention, or emotions. However, some thinkers model consciousness as more field-like. Chalmers asserts that consciousness is an irreducible part of matter, along with time and space. Goff maintains that consciousness permeates reality and is expressed in degrees in different structures. Tononi’s Integrated Information Theory posits that consciousness is a fundamental property of any physical system and the degree of consciousness expressed reflects the power of the present state to affect the probability of its past and future states. Nader’s model goes beyond these concepts and postulates that consciousness is a nonmaterial, non-physical reality that exists entirely by itself. It has an ontological existence and generates matter, governs the interaction between material structures and is responsible for individual subjective experiences. This model is supported by direct experience of the field of consciousness, called pure consciousness, during Transcendental Meditation practice. This allows empirical investigation of pure consciousness and of higher states of consciousness when pure consciousness is integrated with daily experiences.

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 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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.218
GPT teacher head0.474
Teacher spread0.256 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2020
Admission routes1
Has abstractyes

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