From Fresh and Filling to Fatty and Fake: Exploring the Environmental Causes of Contemporary Obesity.
Bibliographic record
Abstract
The World Health Organization states that more than 1.5 billion adults, aged 20 and older are overweight, of which at least 500 million are obese (WHO, 2011). In addition, over 45 million children, under the age of five, are obese (ibid). Worldwide the obesity rate has more than doubled since 1980 (ibid). These statistics are particularly alarming because obesity is a preventable illness. This drastic increase in more recent years demonstrates the need for intervention. Environmental aspects which have caused the current obesity epidemic can be described by four important changes in our society. Primarily the epidemic largely stems from increased food availability resulting from augmented international trade. In addition, the current epidemic largely results from the shift of food ingredients from primarily plant-based products to animal-based. Furthermore, current ingredients have led to adaptations in the human brain size essential for intellectual growth. Finally, our environment has led to substantial alterations in activity patterns and has ultimately caused a sedentary lifestyle in both children and adults. The current rise in obesity can be attributed to the changing environment and our acquired habits resulting from these changes. Although humans have created excellent physiological mechanisms to defend against weight gain, these mechanisms are unable to sustain a normal weight if consumption of food is constant. The current epidemic can be attributed to shifts in the global environment resulting in changed eating patterns and decreased activity levels.
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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 | 0.001 | 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 | 0.001 |
| 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".