Социальный портрет замещающих семей и пути совершенствования их медико-педагогического сопровождения
Bibliographic record
Abstract
The study demonstrated that in Russia the major cause of orphanage is asocial life-style of biological parents of orphan children. The substitute families are more often large with number of children from 3 to 8 and quarter of them are incomplete. The mean age of substitute parent consists 47.8±1.4 years. The leading motivation to take orphan child for education in family is the availability of kindred relationship regarding child or “deserted nest syndrome”. At the initial phase of establishing of substitute family the most of substitute parents/tutors face with problems of health status and behavioral deviations of foster children. The substitute parents are unsatisfied with quality of medical monitoring of foster children. They also suffer from deficiency of information concerning characteristics of development, health conditions and modes of rehabilitation of children. In the judgment of substitute parents/ tutors placing child into family conditions effects positively on one's development and health, behavior and emotional background. In substitute families, conditions organized for children can be named as approximated to conditions of residing in biological (home) families. The system of medical psychological and pedagogical monitoring of children of this category is needed in further development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".