SOCIO-HYGIENIC CHARACTERISTICS OF WOMEN OF REPRODUCTIVE AGE AND ITS ROLE IN THE DEVELOPMENT OF GYNECOLOGIC PATHOLOGY
Bibliographic record
Abstract
In the structure of general morbidity in Russia for 2018 year of complications of pregnancy and childbirth took place and 3 tend to grow. Aim - study of socio-sanitary characteristics and reproductive behaviour of women of childbearing age (ZhFV) and determining their impact on women’s health. Materials and methods: data from medical records and questioning women in 2017 year in Moscow. The results. Provided social and hygienic characteristics of observed women, average age of 32 years, two thirds, a quarter of workers are housewives, every tenth-student, 66% are married, 82% regularly visit a physician, each the fifth has gynecological disease, 70% believe contraception necessary, 62% are related to abortion adversely. Conclusion. It is advisable to generate a high level of medical activity in women, as the future of the mind, from school age, to carry out sex education with a focus on healthy lifestyle, paying attention towards abortion and sexual partner the family as a whole.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".