THE RELATIONSHIP BETWEEN AGGRESSION IN PRESCHOOLERS AND THEIR PREFERENCES IN TELEVISION PROGRAMS
Bibliographic record
Abstract
Дубинин Александр свящ.. "Ребенок в мире TV и компьютеров", "Даниловский благовестник", М., 1997. Психологическая диагностика детского развития (руководство пользователя и карточный инструментарий). Под ред. Р.И. Суннатовой. - Москва - Ташкент: ИТД «СМИ - Азия» - Издательство журнала «San`at», 2008 Смирнова Е.О. Психология ребенка/ Е.О. Смирнова.- М.: Школа-Пресс,2007.-384с. Bondarchuk O.A. The dependence of the projection structure on some types of team sports / O.A. Bondarchuk //GLOBUS.-2021.-№ 4(61). - р. 13-15. ID:46133501 Brad J. Bushman and Craig A. Anderson, Iowa State University. Media Violence and the American Public. Scientific Facts Versus Media Misinformation. June/July 2001 American Psychologist ,477-489 Cantor Joanne, Ph.D. The Psychological Effects of Media Violence on Children and Adolescents. The Colloquium on Television and Violence in Society, Centre d'Études sur le Media, HEC Montréal, Montréal, Canada, April 19, 2002. Rowell L. Huesmann and Laramie D. Taylor. The role of media violence in violent behavior. Annu. Rev. Public Health 2006. 27:393-415
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".