Bibliographic record
Abstract
Since the early 1990s, clinicians have recognized a rising incidence of Type 2 diabetes in youth and adolescents. The rising incidence of diabetes has been directly correlated with the increasing incidence of obesity in children with BMI ranging from 26-38 kg/m2. This phenomenon has been observed worldwide including parts of Europe and Asia. Lifestyle changes related to behavioral, environmental and social factors have been suggested as contributing to increasing childhood obesity and Type 2 diabetes. Genetics is also thought to be influencing this trend, as parental obesity and a family history of diabetes appears to put children at higher risk for these diseases. The American Diabetes Association has provided strong recommendations regarding treatment of Type 2 diabetes in youth. Initial management should focus on diet modification and increasing physical activity. Pharmacological therapy for controlling glucose levels, hypertension and hyperlipidemia is recommended if necessary. The strongest recommendation in the literature focuses on disease prevention as youth diagnosed with Type 2 diabetes will be at higher risk for cardiovascular disease and diabetic complications at a young age. Prevention strategies are designed to address both family-based and school-based programs. These programs emphasize physical activity, appropriate dietary choices, behavior modification and parental involvement.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".