Bibliographic record
Abstract
In physics, faster travel slows down the time passage until the time stops at the speed of light; afterwards the time starts to have negative values where the past can be accessed which yields grandfather paradox. Faster-than-light particles (tachyons) are therefore assumed to travel in extra physical dimensions, otherwise, the laws of physics will be violated, see Cox, 2012. We think that human consciousness requires tachyons to be formed, and this is due to several reasons including but not limited to the necessity of the visual entanglement between the visual stimulus and the retina to maintain stable visual awareness, see Yousef, 2020. The visual entanglement requires special type of tachyonic dynamics which considers physical processes but in extra physical dimensions. We theorized that the tachyonic regime (faster-than-light) is a separate world from the baryonic regime (slower-than-light); however, it interacts with our baryonic world through orthogonal physical gates sized way smaller than yoctometers. Based on its nature, the tachyonic regime is dealing with the past, however, it cannot convey any baryonic element to the past. To rephrase, the tachyonic regime can allow the humanity to access the ‘perceptual’ past but not the ‘physical’ past. We believe that human memory requires perfect access to the past; it’s therefore an exceptional candidate to capture features of the tachyonic dynamics through its contribution in constructing the human consciousness. We additionally theorize that conscious dreams whether they are due to predictive coding; they are subconsciously but fully formulated in the past; i.e., the predictive coding generates different scenarios, one of them is expressed in real event among conscious agents, but the other scenarios are stored as memories. To rephrase, the information of the dreams are formulated in the past and they’re perceived through nothing but discharges of past memories; post-neural discharges that formulate tachyonic emissions to be consciously read by humans’ retinal-to-neural pathways during the rapid eye movements. This article will briefly show approaches to this new subject with simplified language and mathematics, however,affirmed detection of the tachyons will be exerted in a further conveyance.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".