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Semantic Guidelines and Conceptual Basis of a Social Education Teacher Professional Mobility in the Pedagogical Science

2020· article· en· W3092640174 on OpenAlexvenueno aff
Zhanat Nurzhanbayeva, Bakhtzhan Aidarov, Almagul Baltabekova, Gavkharbek Makhmudov, Yusubaly Kamalov, Nayila Seisen

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsBasis (linear algebra)SociologyMathematics educationPedagogyPsychologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

The article is dedicated to enhancing urgent scientific problems, which is considered the formation of professional mobility of future teachers of professional training as one of the main components of the modernization of their professional training system. The purpose of the article is to show the results of the scientific search for semantic guidelines and the structure of professional mobility of future teachers of professional training in the conceptual basis of pedagogical science. The main goal of this research paper was a kind of report on the author’s vision of the essence of professional mobility of future teachers in the structure of their professional readiness and scientific results, and acquaint readers with the opinion of scientists on the semantic guidelines and structure of professional mobility of future teachers based on a review of various information sources on selected topics; The leading idea of the publication of the article “Semantic guidelines and structure of professional mobility of a teacher in the conceptual basis of pedagogical science” is to share the experience of identifying the semantic guidelines and structure of professional mobility of future teachers of professional training. Then the concept of "the formation of professional mobility of future teachers of professional training" will be presented as a motivated, focused, and informed process of professional training, reflecting the dynamics of the development of its components and providing predicted changes, professional self-realization, and a quantitative increase in the indicators of the transition of subjects from a low level of mobility to a higher one by creating a system of pedagogical tools.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.565
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.249
GPT teacher head0.424
Teacher spread0.175 · 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 teacher head, 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

Citations1
Published2020
Admission routes1
Has abstractyes

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