Violence against Pregnant Women – The Study Population in Salt City
Bibliographic record
Abstract
This study aimed to identify the forms of violence against pregnant women represented in (physical violence, psychological, and social), as well as identifying the consequences of violence against pregnant women, also identifying the impact of some qualitative variables such as (level of education, housing, income level, family members). The forms of violence against a pregnant woman, and to identify the relationship between some qualitative variables and consequences of violence against pregnant women, a study in which consisted of 250 women from pregnant women attending antenatal clinics in the city of Salt in Jordan, was used package Statistical Social Sciences (SPSS).The study was applied at statistical methods and simple statistics advanced test, to analysis of variance T-test and F-test, to show the differences and implications of statistical variables, the results revealed that the actions stressful work, being forced to have sex, and beating, is one of the most prevalent forms of physical violence. A Study also demonstrated that questioning the sex of the baby, neglecting, and the carelessness of the husband to towards the health status, was one of the most common forms of psychological violence known. The exposure of pregnant women to smoke, and the neglect of her husband because of being pregnant with a female and not allowing seeing the doctor was one of the forms of social violence. Also showed that stress, the anxiety and depression is the psychological effects of violence, also the slackness to perform house duties, and isolation forms other social impacts. The results also showed the presence of statistically significant relationships between forms of violence against a pregnant woman due to the variable places of residence, and monthly income. And there are no statistically significant differences to forms of violence attributed to the educational level.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".