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Record W2982303761 · doi:10.5430/ijhe.v8n7p23

Professional Portrait of History Teacher in Coordinates of Modern Russian Historical Education

2019· article· en· W2982303761 on OpenAlexvenueno aff
Valiakhmetov Albert Nailevich, Yuzmukhametova Landysh Nurgayanovna

Bibliographic record

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Challenges
Canadian institutionsnot available
FundersKazan Federal University
KeywordsPortraitPoliticsValue (mathematics)Representation (politics)Style (visual arts)SociologyHistorical thinkingModern historyPedagogyProfessional developmentWorld historyAestheticsHistoryMathematics educationSocial scienceVisual artsPsychologyPolitical scienceLawArtArt historyComputer science

Abstract

fetched live from OpenAlex

Classical background, topics of schooling history in high school and university bring attention to the existence of global challenges of the 21st century common today. These calls necessitate the creation of new historical study from the younger contemporaries allowing to enter consciously the real world of the people living before and near it, able to analyze historical events, owning proper, commercial, socio-political knowledge, valuing cultural traditions of other people. In the article elements of a professional representation of the history teacher of the 21st century are discriminated from positions of modern historical and pedagogical approaches, it is determined that the main ways of development of professionalism are the scientific character of historical thinking of the teacher, development of individual style of teaching and participation in innovative activity. The practical value of results consists of the practical use of conscious need of the modern teacher of history for continuous professional self-improvement.

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)0.000
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.004

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 head0.028
GPT teacher head0.374
Teacher spread0.346 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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