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Record W2030097847 · doi:10.1177/00030651000480021301

A Semiotic Model of Mind

2000· article· en· W2030097847 on OpenAlexaff
David D. Olds

Bibliographic record

VenueJournal of the American Psychoanalytic Association · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsColumbia College
Fundersnot available
KeywordsSemioticsDualismMaterialismEpistemologyCognitive sciencePsychologyPsycheSet (abstract data type)Field (mathematics)Computer sciencePhilosophyMathematics

Abstract

fetched live from OpenAlex

A theory of signs is presented to arrive at a model of mind that provides a smooth transition from inanimate matter to the thinking brain. Principles of information theory and semiotics are invoked to create a conceptual scheme that can contribute to an understanding of the "mind-body problem." The thesis is pursued that in living systems, as opposed to inorganic ones, there occurs the phenomenon of semiotic transmission of information. The result is a "dualistic-materialist" position; the dualism arises from the fact that at the beginning of life a set of processes comes into being different from those of the inorganic world. This model has implications for psychology and psychoanalysis. It allows for semiotic systems at different levels--e.g., the molecular, the neural network, the language system, and higher mental functions--to be integrated. Analytic concepts such as free association, clinical technique, feedback systems, personality structure, transference, and repetition compulsions can be understood in both biological and semiotic terms. This model interdigitates with linguistic studies already done in psychoanalysis, as well as with biological models extrinsic to the field.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.014
Scholarly communication0.0070.008
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.007
GPT teacher head0.257
Teacher spread0.250 · 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

Citations34
Published2000
Admission routes1
Has abstractyes

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Same venueJournal of the American Psychoanalytic AssociationSame topicOrigins and Evolution of LifeFrench-language works237,207