PSYCHOLOGICAL CHARACTERISTICS OF CHILDREN-ORPHANS, ARE PRONE TO VICTIMIZATION BEHAVIOR
Bibliographic record
Abstract
Представлены результаты эмпирического исследования психологических особенностей детей-сирот, склонных к виктимному поведению. Выявлены и описаны различия в психологических особенностях детей-сирот, склонных к виктимному поведению, и подростков, у которых нет склонности к виктимному поведению. У подростков-сирот, склонных к виктимному поведению, выявлены высокий уровень агрессивности, высокий уровень выраженности алекситимии, низкие показатели самоуверенности. В исследовании были использованы следующие методики: тест склонности к виктимному поведению О.О. Андронниковой; опросник уровня агрессивности Басса-Перри; Торонтская алекситимическая шкала; методика исследования самоотношения В.В. Столина, С.Р. Пантелеева. Результаты исследования могут быть полезными для психологов и педагогов в подготовке мероприятий, посвященных профилактике виктимного поведения подростков. Практическое применение результатов данного исследования в перспективе может позволить создать модель психологической помощи детям-сиротам, склонным к виктимному поведению, реализующую коррекцию гиперфункции защитных механизмов психики последних. The results of an empirical study of the psychological characteristics of orphans prone to victim behavior are presented. Differences in psychological characteristics of orphans prone to victimization and adolescents who do not have a tendency to victim behavior are identified and described. High level of aggressiveness, high level of alexithymia severity, low self-confidence indices were revealed in orphans prone to victim behavior. The following methods were used in the study: test of propensity to victim behavior by O.O. Andronnikova; Bass-Perry aggressiveness level questionnaire; Toronto alexithymic scale; V.V. Stolin, S.R. Pantileev self-attitude research methodology. The results of the study can be useful for psychologists and educators in the preparation of activities dedicated to the prevention of victim behavior of adolescents. Practical application of the results of this study in the future, may allow to create a model of psychological assistance to orphans prone to victim behavior, implementing the correction of hyperfunction of the protective mechanisms of the psyche of the latter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".