Bibliographic record
Abstract
Everything has emerged from energy and energy is essentially information. It is the problem of sole thermodynamics. (Nonequilibrium) thermodynamics is called a metatheory, a theory of theories. But thermodynamics has to be connected with hysteresis to be more complete, divine, and alive. Because hysteresis has a lot of stunning properties such as memory, cyclicity, singularity, saturation, and so on, thermodynamics can thus be linked through hysteresis to everything: entropy, negentropy, information, spacetime, the arrow of time, and superconductivity. Both thermodynamics and hysteresis are universal. Thermodynamics contains entire information about everything, while hysteresis describes its structure. When the two are combined, a complete theory will be created. The results of my 5-years studies show that among many counter-intuitive ideas and basic partial theories, the law of hysteresis can explain the full physical world. In this paper, to clarify the big picture of everything many separate subjects of thermodynamics are attempted to be summarized based on hysteretic trigonometry. Humanity waits for a united theory of physics. Science has two ways to reach this final result: first, infinitesimally detailed scientific research, and second, the study of general trends. The painful lesson of our centuries of research reveals that when one tries to the more detailed the research result, the deeper we go into the endless confusion of information. Instead, the scientific study of the macroscopic and general levels is radically different, like a view from a high mountaintop: no doubt, crystal-clear, easy to understand, ordered, and including the gateway to detailed research. Additionally, the theory of everything is not as complex as theorists think, but very simple, beautiful, and perfect.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.005 | 0.012 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".