Investigação dos óbitos infantis através do modelo Calgary de avaliação e intervenção em famílias
Bibliographic record
Abstract
Objective: to report the use of the Calgary Family Assessment Model (CFAM) in family interviews in an infant death survey in two counties in southern Rio Grande do Sul state. Methods: a descriptive, exploratory and qualitative approach study performed in 2007 in two southern Rio Grande do Sul counties. One family in each county who had gone through infant death was surveyed by means of home visitations through the use of the CFAM. The study has a qualitative approach and the pieces of information obtained during the interviews, genogram and ecomap preparation, as well as those collected on the infant death survey form, were considered for data analysis. The study has been approved by the Committee of Ethics in Research of the Medicine Faculty of the Federal University of Pelotas (063/07). Results: the Calgary Family Assessment Model proved to be useful in approaching families that mourned the early loss of one of their members, bringing together the nursing professional and the family, as well as strengthening the bonds between the family and the public welfare system. Conclusion: this study led us to the conclusion that the nursing professional, by means of a systemic family care approach, is able to provide a broader assistance to family needs. Descriptors: infant mortality; nursing; family; public health.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".