Social Perspective and Causal Factors Influencing Women Prostitution in Iran
Bibliographic record
Abstract
<p>This article reviews some factors leading to women prostitution in Iran. Efforts to address this phenomenon in every society must firstly be directed at the individual, the family, and also at economic, social and cultural factors to determine the extent they contribute to sexual crimes. In Iran, sexual offences receive significant attention because of Islamic injunctions application. The country does not permit or tolerate such offences. Since the sexual offences incidents are increasing in the world, this resulted in adverse consequences such as insecurity, the weakening of family structure, offending of public feelings and the prevalence of lawlessness. This makes it necessary, to identify the causal factors that stimulate the occurrence of such offences and to consistently eradicate them.<em> </em>This is an analytical study on the determined topic, to find out how women become manipulated sexually because of the causal factors that influenced them into prostitution activities. Despite the fact that Islamic legal jurisdiction is comprehensive and progressive and prostitution is recognised as an offence in Iran, unfortunately, it seems the offence is sometimes occurring.</p>
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".