Determination of risk factors for child fall based on the Calgary
Bibliographic record
Abstract
Objective: To determine risk factors for falls in children based on the Calgary Family Assessment Model (CFAM). Method: A qualitative approach, in which we interviewed six relatives of children who were admitted to an emergency hospital in Fortaleza, Ceara due to fall in the period from August to September, 2005. According to the CFAM we did the genogram and eco-map of two families (1) and (2). Results: By the genogram and eco-map of the families, we observed that (1) is a single parent family with six children, Roman Catholic, earns one minimum wage and attends both school and Family Health Basic Unit (UBSF). (2) is a nuclear family, with two children, Roman Catholic, earns three or more minimum wages and attends school, work and UBSF. Conclusion: The Calgary Family Assessment Model enabled to know the family structures of the children who had suffered falls and helped in defining the risk factors that exist within families and social environments in which these children attend. Family income, number of children, the presence or absence of fathers, schooling and lack of spaces for education support represent risk factors for these accidents.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".