Women's Participation in The Selection of Contraceptive Methods – Knowledge, Attitude and Culture
Bibliographic record
Abstract
Timor Leste is one of the developing countries with one of the main problems faced is the population sector, namely the high rate of population growth. The purpose of this study is for what factors influence the knowledge, attitudes and culture of women to participate in the selection of contraceptive methods at the Formosa Health Center. This research method is carried out descriptively with a quantitative approach. The population of this study was Women of reproductive age who sought family planning services at the Formosa Health Center. The results of this study revealed that most participants or women sought family planning services at the Formosa Health Center, dominated by women from the age group of 20 to 24 years and with a higher level of education. We found that there was little information regarding the type of use and source of information, participants with knowledge and level of education preferred to use artificial methods, especially the most widely used ones were Injections, compared to Pills, IUD and Implant. It is highlighted that the side effects of the injection contraceptive method are dizziness and headache. However, there is no fundamental reason to stop use. It is emphasized that only a quarter of women have the knowledge that the advantage of using contraceptives is only to prevent 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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".