Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".