Adolescent Health and Nutrition in the US and Canada: An Overview of Issues and Determinants
Bibliographic record
Abstract
Nutrition of young women and its effect on offspring is an almost neglected topic in developed and developing countries alike. Under- as well as overnutrition of the mother can negatively program the child's health: Maternal undernutrition and micronutrient deficiencies are related to both low birth weight and intrauterine growth retardation. Moreover, they also result in negative epigenetic programming both during conception and in the newborn. Obese mothers, on the other hand, may produce offspring with a lower life expectancy, a fact which could be related to the higher risk of developing metabolic syndrome in adult life. This book provides insights into the influence of maternal health and nutrition on both fetal and postnatal growth and health of the offspring. Contributions focus on future mothers from their adolescence to pregnancy, thus providing valuable information for the clinician involved in the care of adolescents and young women.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".