Bibliographic record
Abstract
Einstein uses a train embankment case to interpret the concept of the relativity of simultaneity. In this article, we present a few situations showing that simultaneity can be nonrelative. Suppose that frame H with coordinates ( x , y , z , t ) is fixed on a railway, where the x -axis and the railway coincide, and similarly, frame H ′ with coordinates ( x′ , y′ , z′ , t′ ) is attached to a train uniformly moving along the railway, where the x ′-axis and the train coincide; i.e., the train moves along the x - and x ′-axes. On a transverse plane in H , events occurring at points equidistant from the x -axis occur simultaneously, and nearby observers emit light signals toward observer M on the x -axis and another observer M ′ on the x ′-axis. The distances between M and all event locations are the same. Additionally, M ′ is equidistant from all event locations. Clearly, M ′ receives all signals simultaneously. Similarly, M perceives that all events occur at the same time; i.e., simultaneity is not necessarily relative. In addition, we perform an elaborate study of the distinction between the occurrence time and the transmission time. The results suggest that when the transmission time is considered for measuring the occurrence time, simultaneity can be nonrelative.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".