Review of: "Aristotle, Heisenberg, and the Non-Locality and Non-Temporality of a Single Photon"
Bibliographic record
Abstract
This paper, by its title, purports to discuss the issues of non-locality and non-temporality of photons from the perspective of Aristotelian physics.I must admit to feeling somewhat disappointed at the very brief discussion of Aristotle and his ideas in relation to photon behaviour.The most interesting idea from Aristotelian physics is that of potentia, which actually appears in a quotation from Heisenberg.An exploration of this concept from the viewpoint of event-based interpretations of quantum mechanics might shed more light on the more signi cant question as to whether or not the enhanced correlations seen in experiments with photons represent superluminal causal in uences or not.That photons exhibit correlations that have been attributed to non-local or non-temporal in uences is well known.These correlations have been demonstrated experimentally time and again.I am not sure that much new has been added to this part of the discussion.Relevant would be a discussion of delayed choice experiments, but they receive short shrift here.
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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".