Adolescent Pregnancy and Family History of Adolescent Pregnancy in El Salvador City, Philippines
Bibliographic record
Abstract
Adolescent pregnancy has been a common problem not only in the Philippines but also in most countries of the world, may it be developing or first world. In this study, the prevalence of adolescent pregnancy was determined throughout the 15 barangays in El Salvador City using a correlational-descriptive approach. A total of 497 respondents were taken into consideration. The majority of the respondents were 16-18 years old at the time of the study and came from barangay Molugan and Poblacion. Adolescent pregnancy was also determined to be at 32.39% or 161 out of the 497 respondents which is relatively high and comparable to the neighboring countries in Asia. Correlational statistics was also employed to determine the correlation between prevalence of adolescent pregnancy and family history of adolescent pregnancy. A range of strong negative, no relationship, strong positive, to negligible relationship was shown in all 15 barangays. Six out of the fifteen barangays showed positive relationship while five barangays showed negligible relationship. Overall, there was a negligible relationship between the variables studied. This supports the idea that adolescent pregnancy is a multifactorial problem which requires multifaceted intervention strategies and approaches to minimize adolescent childbearing risks. Furthermore, it is recommended that various steps should be taken to develop pregnancy prevention intervention programs targeting young women according to maternal and sibling adolescent pregnancy histories, increase awareness campaign in schools and public places on the risks of adolescent pregnancies, and lastly to improve childhood intervention and youth development programs for reducing unintended and unplanned adolescent pregnancy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".