Quantum transition between spaces in a multidimensional Universe and spatial unconnectivity explain free will and solve the measurement problem of quantum mechanics
Bibliographic record
Abstract
Spacetime is deterministic, but the Universe appears to be stochastic. How to reconcile free will with the determinism inherent to the Universe? In this essay, we postulate that free will can only emanate from the existence of multiple additional spatial dimensions constituting the Universe. As our space displaces through the temporal dimension, we can choose any of the infinite possibilities defined by the additional spatial dimensions, through a process we refer to as quantum transition between spaces. Reality would emerge from the specific materialization of this quantum transition, resulting in a time series of events. This materialization is based on a fundamental property of any space, independently of its dimensions, which we refer to as spatial unconnectivity. This property implies the inability of the constituents of a particular space to observe spaces located in other dimensions. Therefore, the unconnectivity between spaces would prevent the simultaneous observation of all possible events at a specific time point, as well as past and future events, resulting in a unique reality. It would be the observers who determine the temporal trajectory of events, thus providing themselves with free will. In the absence of observers, all possibilities are feasible, thus explaining the quantum properties of elementary particles when they are not directly observed. Our model reconciles quantum mechanics with relativistic physics and is the easiest way to understand how reality arises in our observable Universe.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".