Analisis Pengaruh Kepemilikan Rumah Oleh Perempuan Terhadap Keberdayannya Dalam Pengambilan Keputusan Rumah Tangga: Analisis Sdki 2017
Bibliographic record
Abstract
Women's house ownership has become a significant factor in empowering women with physical resources, enabling them to achieve autonomy in household decision-making. This is particularly relevant given the imbalance in property ownership between men and women, often exacerbated by masculine norms. This quantitative study, using logistic regression, analyzes data from the 2017 Indonesian Demographic and Health Survey. It includes 21,763 female household members aged 15-49 years to determine the impact of home property ownership on the probability of women's involvement in household decisions regarding major asset purchases, visits to relatives, and healthcare. These areas serve as proxies for grassroots women's empowerment. The findings indicate that house ownership has a significant positive influence on women's involvement in household decision-making. Further studies are needed to explore the potential for negative male backlash concerning women's property ownership. Additionally, the importance of empowering women in low-income and middle-income groups should be prioritized.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".