Surprising and Unexpected Discoveries the James Webb Space Telescope Will Likely Make: Based Upon Our Research
Bibliographic record
Abstract
The following research study and assessments involve predictions of the future observations of the James Webb Space Telescope (JWST) concerning its most distant observations and related cosmology theory. Our research began in 2014 and is based upon astronomical observations published by many groups starting from 2008, and ending in the spring of 2022. Observations involve the Hubble (HST), the ALMA radio telescope array, and a number of other telescopes including other infrared scopes. General conclusions and predictions of this research and paper are that the same kinds of galaxies and clusters observed at the furthest possible distances by the Hubble Space Telescope and other telescopes, will continue to be observed by the JWST at the farthest observable distances, and that none of the expected Big Bang related observations will be observed such as the dark ages, the epoch of Reionization, population III stars, or a panorama of only young blue newly-forming galaxies, nor the first stars of the universe, etc. Although we expect that some astronomers might initially claim that the most-distant JWST observations conform to predictions of mainstream cosmology, and have observed some of these predicted eras of theory. In time, however, we predict it will become apparent to many or most that mainstream cosmology is being contradicted by the James Webb observations at the farthest distances. Based upon our research, this will be because the universe is many times older than what the Lambda Cold Dark Matter model and the Hubble distance formula could allow – and that the Perfect Cosmological Principle will eventually be realized as being valid concerning the observable universe and JWST observations.
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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.010 | 0.019 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.009 |
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".