Jungian Theory of the Collective Unconsciousness in the Light of Quantum Psychology
Bibliographic record
Abstract
From a biological point of view, a human being is an open system and cannot be considered in isolation from their surroundings, as together with their surroundings they constitute the one whole. Between the individual and their surroundings there is a continuous exchange of information, energy and matter. A person should be treated not only as a single system, but also as a system composed of a whole series of subsystems, between which there is a lot of feedback. The whole world constitutes a unity since all processes taking place in it are interrelated and mutually influence one another, focusing all the power and influence coming from the space that are so strong that they cannot be omitted. The material can be used to run bioelectronic processes that are essential for every organism to function properly. A living organism can be recognized as a complex electronic device, analogous to the technical devices, and biological materials (proteins, DNA, RNA) which are as structural components in electronic devices. This is the basis to establish the thesis that a biological system can act as a quantum computer, functioning on the basis of entangled quantum states and optoelectronic phenomena.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".