Public health of the nation and reproductive violence
Bibliographic record
Abstract
Background. The article examines a separate area of ensuring the reproductive health of the nation - protection of society from reproductive violence, which is broadly understood to include not only manifestations of sexual violence, but also aspects related to forced abortion, forced sterilization, legal prohibition of contraception, etc. The legal mechanism for combating reproductive violence, including public health regulations, prohibition of violence and a set of guarantees that form law-respectful behavior in the reproductive sphere, is defined. Objective of the study: comprehensive analysis of the nation’s reproductive health problems by identifying methods and means of combating reproductive violence through legal mechanisms. Materials and methods. The disclosure of the subject of the study requires the use of an intercomplex approach that absorbs knowledge from several areas of scientific knowledge - medicine, jurisprudence, sociology, political science, and ethics. The method of dogmatic analysis was used to study the incidents of legal proceedings related to human rights violations and institutional means of their protection; the comparative method was used to compare the role of individual means of influence on the country’s reproductive and preventive policies. Results. The concept of reproductive violence is defined and distinguished from other related concepts; the state mechanism for combating reproductive violence as devaluing behavior that affects the reproductive health of the nation is formed; certain forms of reproductive violence are considered and the effectiveness of institutional and judicial mechanisms for combating this type of violence is determined. Conclusions. Reproductive violence is broader than sexual violence, as it additionally includes violations of reproductive autonomy or reproductive capacity and is represented by such forms as forced pregnancy, forced sterilization, forced abortion, forced contraception, genital mutilation/circumcision, child marriage, and control over pregnancy outcomes. The analysis of the legislation and practice of a number of countries (the USA, India, Sweden, Austria, Ukraine, Ireland, France, the Netherlands, Germany, Canada, Belgium, Luxembourg, Spain, Mexico, Brazil, Malta, Portugal, etc.) has made it possible to state that reproductive health issues in the states often remain outside the focus of the lawmaker and the mechanisms for protecting human rights subjects from reproductive violence are insufficient.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".