CALGARY FAMILY ASESSMENT MODEL (CFAM) IN PREVENTION OF ANEMIA IN PRESCHOOLED CHILDREN
Bibliographic record
Abstract
Iron deficiency anemia is a common iron deficiency in children. Iron is a constituent of hemoglobin. The impact of iron deficiency anemia in children will slowly preventing intelligence development of children and make them susceptible to less endurance so become easily sick. The highest prevalence of anemia is at the end of infancy and early childhood preschool age. The role of the mother in the family is very important in the diet of the child and the fulfillment of nutritional needs. This can be known through the CFAM family assessment approach (Calgary Family Assessment Model). The research design is descriptive explorative with 22 respondents from preschool age children at TK Muslimat Curungrejo Kepanjen through purposive sampling technique. CFAM data collection consists of structural, developmental and functional family assessment components. CFAM structural components consist of: number of nuclear families, order of children, gender, family boundaries, extended family, environment, religion, purchasing power.…
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".