Calgary Family Assessment Model (CFAM) Keluarga tentang Penanganan Pertama Food Borne Disease Anak
Bibliographic record
Abstract
Food borne disease (FBD) is a disease through consumption of contaminated food. The problem is that, school children are vulnerable to FBD because of household food contamination. This indicates the family as a food handler hygiene mainly the mother who prepare the food needed to be improved. Most common FBD is diarrhea, one of the danger is that the child’s body fluids are expelled out through the stool this can cause dehydration or even death. Family plays very important role in the handling of FBD first before being taken to the health service. This can be known through family studies approach CFAM (Calgary Family assessment model). The design of this study was descriptive eksplorative with a sample of 35 respondents; the 4th graders and their parents (17 persons) and 5th graders and their parents (18) in Jatirejoyoso Kepanjen Elemetary School through purposive sampling technique. The data taken were demographic and CFAM consists of the structural assessment components, development as well as family function. The family in first handling of food borne disease largely was not routine (71.4%). Ways of solving the problems mostly by the head of the family (74.3%). Responsible care for sick children mostly (57.2%) by only one parent (father / mother). Follow up during sick mostly made an effort (curative) as much as 85.7%. Family belief the majority (80%) considered that the first treatment at home was not needed because it could be taken directly to the health service. Health workers are expected to provide guidance for families through health volunteers on first handling practices of FBD. While schools are expected to perform optimization of UKS (School Health Unit) program to provide health education about the prevention and first treatment of FBD toward the school community.
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".