Bibliographic record
Abstract
It is irrefutable that most convenience and favored foods and beverages are the leading cause of morbidity and mortality worldwide. Government and private health agencies and organizations and cardiologists specifically, and clinicians in general, have failed and should be held liable for malpractice for pushing procedures and pills above longevity-lifestyle redirection for Maillard, alcohol, nicotine, and other drug abuse disorders. Particular lifestyle transitioning training for specific Maillard, alcohol, nicotine, fentanyl, and other drug misuse lifestyle transitioning programs have proven the most successful. And medical publishers and medical school deans to front-line medical clinicians and technicians are either unwilling or unable to conceptualize the basics of how lifestyle transitioning for substance misuse works. A must when trying to sell a joyous longevity lifestyle to themselves, their students, and their overweight residential and ambulatory guests. A detailed understanding of recovery lifestyle training programs is privy to a small number of experts globally, RL DuPont, NS Miller, and JA Cocores, for example. Specifics surrounding why Maillard foods are powerful opiate and dopaminergic agonists are clear to the author. Falsely arrested and silenced by the Florida Board of Medicine in February 2013 for putting lifestyle changes above the pharmaceutical industry and prescription cardiology and other pill-pushing by Hillary Clinton's Florida-based Drug Czar Dave Aronberg. The purpose of this article is to supply clinicians and healers with information surrounding why and how Maillard-coated favorite foods and beverages within each country behave like fentanyl and methamphetamine. And how to sell the unwanted proposition of helping unhappy browned-food compelled people slowly begin moving towards a joyous longevity lifestyle. These steps and much more should have been worldwide headlines over the past few decades. Instead, the world was distracted away from vital, joyous longevity lifestyle information by corporatocracies and autocratic governments posing as democracies that feed off their wealth and power. The world is perpetually distracted from what the average person is most concerned about by the so-called elite with a self-serving agenda. The elite-funded news of February 23, 2022, is no exception. Healers and everyday people need to begin fending for their joyous longevity lifestyle. These are the first baby steps and formulas to outlive the elites to once again form governments by and for the people.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.018 | 0.025 |
| Open science | 0.003 | 0.022 |
| Research integrity | 0.016 | 0.025 |
| Insufficient payload (model declined to judge) | 0.235 | 0.135 |
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".