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Record W2158870088 · doi:10.5539/res.v7n4p88

Prevention of Student Youth’s Victim Behavior

2015· article· en· W2158870088 on OpenAlexvenueno aff
Albina R. Drozdikova–Zaripova, Nadezhda Yu. Kostyunina, Natalya N. Kalatskaya

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
FundersKazan Federal University
KeywordsSocializationPsychologyDemocratizationPersonalitySocial psychologyControl (management)Applied psychologyDemocracyPolitical science

Abstract

fetched live from OpenAlex

New times put forward new tasks for teachers, psychologists, social workers. Prevention of student youth’s victim behavior is determined by social and practical importance of society democratization and humanization; by the necessity to develop physically and spiritually healthy, actively creating and socially adapted personality, by the increased demand for victimologic prevention and correction. The article substantiates the essence and motives of student youth’s victim behavior; it also reveals specific characteristics of student age: emotional immaturity, insufficient ability to control own behavior and other factors that increase the risk of becoming “a victim” due to adverse conditions of socialization. The research has resulted in defining pedagogical conditions aimed to prevent victim behavior: diagnostics to identify victim behavior among students; development and introduction of comprehensive prevention program “Life out of danger!”. The conducted research allowed to draw a conclusion that the approved program due to included various forms and methods offers an effective way to prevent student youth’s victim behavior.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.335
GPT teacher head0.459
Teacher spread0.124 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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