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Record W2561182850

Вклад выпускников Профессорского института в развитие отечественной педагогики в XIX веке

2015· article· ru· W2561182850 on OpenAlexaboutno aff
Nadezhda Karnaukh

Bibliographic record

VenueВЕСТНИК Брянского государственного университета · 2015
Typearticle
Languageru
FieldSocial Sciences
TopicEducation, Leadership, and Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogySociologyQuarter (Canadian coin)Political scienceMathematics educationPsychologyHistory
DOInot available

Abstract

fetched live from OpenAlex

The article is devoted to Professorial institute's graduates. The Professoral institute was founded in the first quarter of 19th century at Dorpat university in order to accomplish prompt training of professors of new formation for Russian universities. The author analyzes their contribution to the development of Russian pedagogy of highest school, which includes implementation of new forms of classes, involving students to researching activities, preparation of teaching aids. Special attention is paid to analyze of pedagogical activities of young professors in pedagogical institutes, which were opened at universities, contribution of Professorial institute's graduates to the development of theoretical bases of Russian pedagogy. Russian professors of new formation realized themselves to be not only teachers and scientist, but also an essential part of cultural life of their times. The reflection of experience in their activities was aimed to keep traditions of university education in Russia.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.001
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 head0.480
GPT teacher head0.553
Teacher spread0.073 · 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.

Study designNot applicable
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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