Resilience among Women of Childbearing Age from Arequipa, Peru: Psychometric and Associative Analysis
Bibliographic record
Abstract
Resilience is one of the most important variables in the development of healthy pregnancies although there have been limited investigations within local contexts. The present study had a double purpose: first, to analyze the psychometric properties of the Wagnild and Young Resilience Scale, and second, to evaluate the sociodemographic and obstetric variables associated with resilience in fertile-age women from Arequipa City. This is an instrumental and associative study, in which a sample of 248 women who attended a health center located in Alto Selva Alegre district, were assessed using the Wagnild and Young Resilience Scale, and a sociodemographic survey. The results suggest that the resilience scale is valid and reliable. Moreover, 46.8% of the women were assessed as having low resilience. It was also found that resilience was associated with age, educational attainment, marital status, productive activities, the desire for pregnancy, and domestic violence during pregnancy. Educational attainment and domestic violence during pregnancy had a positive impact on resilience.
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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 | 0.001 | 0.005 |
| 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 teacher head, 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".