Might Makes Right -Trump intimidated. threatened and bullied America's allies in his 2nd term just like his 1st term - The Might Makes Right Historical Cycle: March 2017 Letters to Allies' Embassies of Allies w/ Revelation of Trump's Abuse (July 2020) + 1981 warning to FBI - document w/FOIPA Stamp
Bibliographic record
Abstract
This essay reviews some personal spiritual-psychic experiences including a number of documented experiences – some dreams and some conscious experiences. First, I review the unprecedented number of precognitive experiences related to 9/11. I focus on Richard S. Broughton's report on experiences related to 9/11 in Encounters at the Frontiers of Time: Questions Raised by Anomalous Human Experiences. Another focus is the 2017 "might makes right" letter to the allies embassies explaining America is in a might makes right historical cycle similar to Athens after they defeated the Persians and bullied, threatened and intimidated their allies in the Delian League. I also review and describe a detailed, notarized warning to the FBI in 1981 about a terrorist attack by the Weathermen group, which proved accurate. I highlight spiritual and psychological factors effecting the question of transcendental spiritual experiences.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".