Determinants Affecting Reproduction Among University Youth Who're Getting Married in Jordan an Applied Study of the University of Jordan Students
Bibliographic record
Abstract
The research aims to identify the most important environmental, economic, and social factors influencing reproduction among university youth, in addition to identifying the statistical significance of the impact of these factors on reproduction among this group of Jordanian society.The descriptive approach is applied to suit the objectives of the research.The scale that the researchers created to gather data was used in the study.The research sample was chosen randomly, at an error level of 0.05, from the undergraduate students at the University of Jordan in the scientific and humanities colleges, who were 381 male and female students, for the academic year 2023-2024 for the first time.The statistical methods used in the research are summarized as follows: Calculate frequency and proportions to identify the social characteristics of participants.To confirm the validity of the questionnaire's internal structure and item distribution based on dimensions, Pearson correlation coefficients were calculated for each research tool item and its corresponding dimensions.It was shown from the results that the most influential environmental factor in the desire to have children among young people, from the point of view of the University of Jordan students, is their feeling of fear for their children when thinking that they will live in an unhealthy environment, as this factor received a high level, and that the most preferred social factor is understanding the partner before having children, and their fear of not agreeing after marriage limits their thinking about having children.The study recommends the necessity of providing financial and social support to couples who wish to have children and face economic challenges.
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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 | 0.002 | 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".