PERSPECTIVES AND DIRECTIONS FOR A WORLD HEALTH REFORM PROGRAM THROUGH NATUROPATHY AND NATURAL ALTERNATIVE MODALITIES: IMPLICATIONS TO GLOBAL ECONOMY, FOOD SECURITY, LONGEVITY AND AGRICULTURE PROBLEMS
Bibliographic record
Abstract
The life span of the present generation is much shorter compared to that of the generations before us. Scientists have uncovered the truth, yet most of them refused to do something about the fact that unhealthful food and man’s lifestyle are the real reasons of a deteriorating generation and the very culprit/causes of practically all diseases man can think of. The leading causes of death at present are cardiovascular and colon cancer diseases among others, because of the kind of food people eat and unhealthy lifestyle preferences. The objective of this paper is to establish that these problems need careful attention through proper education and a meaningful intervention program which can turn the situation around, influence immediate implementation, and save lives. The research methods used in this paper are descriptive, qualitative, historical, and analytical. Naturopathy adheres to the natural Laws of Health (Eight Laws of Health). The field of naturopathy is an umbrella of natural approaches which can hardly be found in the curricular offerings of most of our health and educational institutions. It is essential that people learn about the effects of deviations from the natural laws of health if only to arrest the “evils” of modern lifestyle. Also, right and proper nutritional farming (or trophobiosis) should be pursued to correct problems of modern agriculture in order to ensure a bountiful harvest and solve health/longevity, food security, and economic problems.
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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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.016 | 0.010 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".