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Record W1536498894 · doi:10.5539/res.v7n7p164

The Concept of Knowledge Carrier’s Competence in the System of Continuing Education

2015· article· en· W1536498894 on OpenAlexvenueno aff
Zhanat Khamarovna Salkhanova, A.I. Akhmetzhanova, Zhanna Borisovna Jalamova, Nurzada Tursynbekovna Kakisheva

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)PersonalityPsychologyPedagogyMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

The subject of the research is the pedagogic category of competency. The objective is to prove the thesis that competency is the objective and result of education in the context of the modern educational system. This category is considered a component of structural unity: literacy—education (in terms of degree of education)—competency—culture—mentality. The authors consider that under the conditions of the continuing education system—from primary school to higher education institute—the issues of goal-setting should be stated in regard to solidarity in tasks and shared objective setting—development of a competent knowledge-carrier and competence of personality as an expected outcome. The paper deals with correlation of the “competence” and “competency” notions; understanding of person’s “competence” as an acmeologic category and the potential of intellectual and professional development of personality, the characteristics of which are “competences”, which should be formed in the process of education are established. Given this, “competences” act as integrated characteristics of education quality and graduates’ training, and the categories “competence”—”competency” are a unity reflecting relation of “the potential general” and “the potential particular.” The modern qualitative result of education is a pre-singled out set of specific competences reflected in the competence-based model of education and the graduate’s model, which correspond to social order. The advantage of the competence-based approach in comparison with others is that its use makes it possible to socialize a person in the context of constant instability and development of the society.

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)0.012
metaresearch head score (Gemma)0.024
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 score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0060.003
Science and technology studies0.0030.020
Scholarly communication0.0100.010
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.096
GPT teacher head0.364
Teacher spread0.269 · 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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