Factores sociodemográficos y abandono del tratamiento de multimicronutrientes de niños de 6 a 36 meses, centro de salud ollantay, 2017
Bibliographic record
Abstract
The current investigation aimed to determine the relationship between sociodemographic factors and abandonment of multi-micronutrient supplement treatment in children from 6 to 36 months which went to growth control and development of Maternal and Child Health Center "Ollantay" during the first quarter of 2017. Quantitative research, descriptive method, cross-sectional correlational design. The sample was conformed by 180 mothers. To data collect a questionnaire was used as an instrument, which got a strong reliability of 0.890 and 0.887 in Cronbach's alpha. The results show that 24.39% of mothers submit a high level in regards to sociodemographic factors, 48.78% set out a medium level and 26.83% a low level, it is also evident that 30.89% present a high level with respect to the abandonment of multi-micronutrient supplement treatment, 32.52% show a medium level and a 36.59% have got a low level. It is concluded that variable sociodemographic factors are directly and positively related to abandonment of multi-micronutrient supplement treatment variable. It is recommended to Ollantay Health Center to carry out monitoring with community agents in order to achieve the objective in mothers with respect to multi-micronutrient supplement treatment in children from 6 to 36 months
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".