Nutrition needs assessment of young Special Olympics participants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Children with intellectual disability (ID) are at increased risk for obesity and nutrition-related health concerns, yet there is a paucity of data describing their nutrition status. The purpose of this study was to evaluate nutritional challenges of young participants (2?10 years of age) enrolled in Special Olympics Canada (SOC) programs. METHOD: A validated nutrition screening tool was mailed to 52 parents/caregivers of participants across 18 SOC programs in British Columbia, Canada. RESULTS: Of the 29 (55.8%) questionnaires returned, 62.1% scored as "high" nutrition risk. Nutrition concerns included feeding (84.2%), oral motor (57.9%), and dental problems (26.3%), food allergies/intolerances (26.3%), constipation (15.8%), anaemia (10.3%), and diarrhoea (5.3%). Body mass index (BMI) for age data classified 16.7% of participants as overweight/obese and 22.2% as underweight. CONCLUSIONS: This study identifies some of the unique nutrition issues faced by children with ID. These data can help inform future ID health-related nutrition, prevention, and treatment programs.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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 it