Adolescent Polygamists' Sociodemographic Characteristics in Musi Banyuasin: A Spatial Distribution-Based Study
Bibliographic record
Abstract
The aims of this study were to examine the features of teenagers involved in polygamy partnerships in the chosen case study area, using socio-demographic relationships.The types research is descriptive and quantitative.This research method uses a survey approach to obtain data from a collection of panels or respondents.Purposive sampling strategies were applied.The total sample of 48 respondents consists of 16 homes, each with 16 husbands, 16 first wives, and 16 second wives.The analysis technique is descriptive, utilizing percentage calculations.The results of this study found that female teenage polygamy was discovered in 14 villages, with Mekar Jaya and Kertaju having the highest concentrations.44% of the teen polygamy population was 17 years or younger.Based on their work activity, 73% of polygamous teens were found to be unemployed.Women who do not work are more likely to be open to polygamous relationships.The bulk of polygamous women are from villages outside the subregion.The dispersion of their original villages influences the socio-spatial and socio-demographic characteristics of young polygamists.The prevalence of polygamy marriage among young people can be attributed to teenagers' lack of knowledge of the obligations associated with marriage, namely the tasks demanded of a husband.
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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) | 0.000 | 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) | 0.000 | 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".