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Record W2025445188 · doi:10.5539/ass.v11n6p76

The Socialization of the Individual in the Outside World: The Problem Field and the Methodological Bases of the Research

2015· article· en· W2025445188 on OpenAlexvenueno aff
Victor A. Bulaev, Marina V. Soshenko, Elena V. Koverkina, V. I. Shmyrev, Михаил Щербаков

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationField (mathematics)PersonalityProcess (computing)SociologyAdaptation (eye)EpistemologyIdentification (biology)PsychologySocial psychologySocial scienceComputer scienceMathematics

Abstract

fetched live from OpenAlex

The problem of the individual socialization gets a special importance in the globalizing world, as it is accompanied by a number of negative processes, characteristic for this period of historical development. The main objective of this work-is theoretical and methodological explanation of the considered problem, and the identification of the ways to solve it. To achieve this goal in this paper we consider the process of the socialization of the individual in its surrounding world, from ancient times to the present day. We revealed the creative essence of man, his need, not only in social adaptation, but also in the transformation of the surrounding world. We formulated modern approaches, the complex application of which contributes to the solution of a number of problems, related to the problem of the socialization of the individual in the modern world. The deliberations of the problem are presented. On the basis of the conducted analysis, we concluded that the socialization of the individual in the surrounding world-is a complex path of spiritual and professional formation of the personality, which realizes itself as a creature and a creator of culture.

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)0.014
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0050.048
Scholarly communication0.0090.009
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.346
GPT teacher head0.508
Teacher spread0.162 · 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 designTheoretical or conceptual
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

Citations0
Published2015
Admission routes1
Has abstractyes

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