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Record W2006449365 · doi:10.5539/res.v7n5p211

The Features of Manifestation of Students’ Subjectness

2015· article· en· W2006449365 on OpenAlexvenueno aff
Aksana N. Yashkova, Aydar Kalimullin

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
FundersKazan Federal University
KeywordsPsychologyCompetence (human resources)Subject (documents)PhenomenonProcess (computing)Set (abstract data type)Quality (philosophy)PedagogyMathematics educationSocial psychologyEpistemologyComputer science

Abstract

fetched live from OpenAlex

The article is of current importance in the field of pedagogics and psychology of higher education as it reveals psychological prerequisites for formation of a specialist and his/her productive self-realization as of the subject of activity. The purpose of the paper is to study the features of manifestation of students’ subjectness which ensures success in mastering professional education. The author considers the conception of this phenomenon as a psychological formation and discloses its manifestation through a set of subject actions of a student. The main subject actions include self-actualization and self-control, which provide the quality of the student subjectness manifestation in the process of mastering professional competence. The materials of the present paper can be useful for high school lecturers and students seeking for self-improvement and self-development.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.129
GPT teacher head0.456
Teacher spread0.327 · 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 designQualitative
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

Citations5
Published2015
Admission routes1
Has abstractyes

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