Peters & TOZZI’S Scientific Results: an Overview
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This short manuscript summarizes the framework developed by Tozzi and Peters in the years 2015-2017. We claim that the Borsuk-Ulam Theorem (BUT), is not simply a metaphor, rather a real computational tool standing for a universal principle for physical and biological systems. Indeed, the BUT perspective allows a feature (e.g., a shape, a trajectory or an energy) located in the environment to be translated to an abstract space and vice versa. Achieving a map from one system to another enables researchers to assess and elucidate a wide range of phenomena. We provided either demonstrations or testable hypotheses related to the BUT framework in far-flung disciplines, such as neuroscience, theoretical physics, nanomaterials, computational topology, applied algebraic topology, philosophy of the mind, chaotic systems, group theory and cosmology. We collaborated with foremost scientists from Canada, China, Czech Republic, Finland, France, Hungary, Iran, Italy, Norway, Poland, Russia, Slovenia, Spain, Sweden, Turkey, United Kingdom, U.S.A.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it