Resources for the Provision of Nutrition Support to Children in Educational Environments
Bibliographic record
Abstract
The use of nutrition support outside of institutional settings has contributed to maintaining the health, well-being, and nutrition status of many medically complex children. As these children grow and enter educational settings, there is a need for awareness of the care that these children require for nutrition support therapy. This document is designed to raise awareness to these needs, provide best practice educational resources for those involved in the supervision or provision of nutrition support to children in an educational environment, and promote safe and effective care. Care of children requiring nutrition support is an ongoing and shared partnership among the educational team, medical team, homecare team, and parents/caregivers. Care is individualized to the specific child and may include provision of nutrition support therapy while in the school setting, maintenance of a nutrition access device, and monitoring to safely prevent or act on signs of potential complications. Suggested roles and responsibilities of those involved with nutrition support care are discussed; however, all interventions and routine care must be in accordance with physician's orders, school nurse privileges and competencies, and state and local regulations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.076 | 0.014 |
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 source (direct Gemma or distilled Codex), 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".