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Record W1547861166 · doi:10.1063/1.1503677

Semiosis and Energy Transformation

2002· article· en· W1547861166 on OpenAlexaff
Edwina Taborsky

Bibliographic record

VenueAIP conference proceedings · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsBishop's University
Fundersnot available
KeywordsSemiosisGenerative grammarAction (physics)Relation (database)Computer scienceTransformation (genetics)Process (computing)Internal energyEnergy (signal processing)AsymmetryEpistemologyPhysicsArtificial intelligenceQuantum mechanicsPhilosophySemiotics

Abstract

fetched live from OpenAlex

Semiosis is understood as a process of transforming energy to mass via measurement. Measurement is an action of codification, organizing energy within different modes of relation. Measurement is examined within a series of ontological and epistemological cuts that increase asymmetry by first differentiating energy/mass into external and internal realms and then differentiating these realms into formal mind‐models and informal mass‐instances. These realms are examined within the three Peircean modes of Firstness. Secondness and Thirdness to explore five different processes of codification that encode energy to mass within a maturing complexity. Codification within these five processes is examined within classical and quantum mechanics and concludes that we require both mechanics of codification to provide a generative semiosis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.217
Teacher spread0.169 · 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.

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

Citations9
Published2002
Admission routes1
Has abstractyes

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