FAD DIETARY PATTERNS AND THEIR IMPACT ON HUMAN HEALTH
Bibliographic record
Abstract
Adiet, popular for a time, without standarddietaryrecommendations, and promising unreasonably fast weight loss or nonsensical health improvements is called Fad diet. These diets involve the elimination of foods that contain essential nutrients, some diets also cut entire food groups. The most common fad diets include Detox Diet, General Motor Diet, South Beach Diet, Hollywood Diet, Banana Diet, Paleo Diet, Raw Food Diet, Keto Diet, Vegan Diet, Atkins Diet, Dubrow Diet, Watermelon Diet, Blood Type Diet, Alkaline Diet and Liquid Diet. All the diets result drastic and unrealistic weight loss. These unhealthy dietary patterns make unrealistic promises but do not result in long-term weight loss. It may severely jeopardize health of a human being. The fact that these diets they don't work and also provide more suffering in your efforts to lose weight. The consequences of these diets are inadequate intake of minerals and vitamins, low caloric intake, fatigue, weakness, dehydration, constipation, gastrointestinal discomfort, bad breath, disrupt metabolic rate etc. The best approach to lose weight is to consult a qualified dietitian/nutritionist who'll asses' dietary intake and recommend a healthy eating long-term weight loss plan according to the body needs.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".