Spectral redshift does not imply an accelerating expansion of the universe
Bibliographic record
Abstract
Spectra received from faraway heavenly objects display a redshift. In this paper, it is shown that there is a moment in time t x at which time the red shift has its minimum value. This moment is different for every object and depends on the distance of the emission from the gravity center of the object. So from the time of the creation of the object and up until the time t x , the red shift is decreasing and from that moment on it is increasing while the object, due to the expansion of the universe, continues to move away with decreasing speed. Due to the change of the red shift from decreasing to increasing, it is possible to observe faraway supernovas with a brightness that is less than what is expected. This observation leads to the erroneous conclusion that the universe is expanding with acceleration. Finally, an explanation is given to the fact that the number of quasars is decreasing in time.
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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) | 0.000 | 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 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".