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Development of Pedagogical Schools and Colleges in Ukraine in the 1990s – First Quarter of the 21st Century: Historiography of the Problem

2025· article· en· W4413014475 on OpenAlexaboutno aff
Оксана Вінтоняк

Bibliographic record

VenueEducation and Pedagogical Sciences · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyQuarter (Canadian coin)HistoryMathematics educationPedagogySociologyPolitical sciencePsychologyArchaeology

Abstract

fetched live from OpenAlex

The article provides a historiographical analysis of scientific sources on the development of pedagogical schools and colleges in Ukraine from the 1990s to the first quarter of the 21st century to assess the current state of research and the prospects for further study. To address this task, a two-vector classification of scientific sources was developed. «Vertically», based on type and informative-content criteria, they are divided into four groups: 1) generalizing works; 2) monographs and dissertations; 3) scientific articles and materials from scientific conferences; 4) reference publications. Their informative-cognitive potential and features are characterized. «Horizontally», based on content-thematic criteria, six subgroups of historiographical sources are identified and characterized: 1) scientific-theoretical works that provide the foundation for developing a methodology for studying pedagogical schools and colleges; 2) studies on the development of pedagogical colleges abroad; 3) works that illuminate the historical retrospective of the development of these educational institutions in Ukraine; 4) research related to various aspects of the development of the modern system of higher and professional-pedagogical education in Ukraine (stages, continuity, etc.); 5) the fundamental subgroup of works that directly highlight the activities and development of pedagogical schools and colleges in Ukraine; 6) works on the functioning of pedagogical colleges under the conditions of the Russian-Ukrainian war.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.098
GPT teacher head0.395
Teacher spread0.298 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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