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Development of comparative professional education in Ukraine: educological context

2018· article· en· W2903556579 on OpenAlexaboutno aff
Svitlana Sysoіeva

Bibliographic record

VenueOsvitolohiya · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsComparative educationUkrainianField (mathematics)Political scienceContext (archaeology)Comparative researchProfessional developmentPoliticsIndependence (probability theory)Higher educationPublic relationsSociologySocial sciencePedagogyLawGeography

Abstract

fetched live from OpenAlex

The article presents a quantitative and qualitative analysis of comparative studies on professional education in Ukraine since the years of independence (since 1991); the consideration of the concept of «comparative professional education», the main provisions of its methodology; the analysis of the tasks and specifics of comparative studies in the field of professional education. It should be emphasized that the question of the methodology of conducting comparative studies is a weak link in the studies of Ukrainian comparativists. Actual is the study of the experience of European countries and the USA regarding the methodology of conducting comparative education studies. The article shows that the specificity of comparative professional education requires an interdisciplinary approach to research, taking into account external factors (historical, social, cultural, economic, political, etc.) of influence on the system, tendencies, content, technology, forms and methods of professional education in foreign countries that is possible to carry out on the principles of Educology. In Ukraine, there is a lack of associations or societies on educational comparative studies that would coordinate comparative studies, in particular in the field of professional education, in the country, establish cooperation with other institutions of the research infrastructure of Europe, the USA. Canada, etc., systematically hold scientific and practical conferences, seminars, discussion platforms, etc. It is worth noting that the conclusions of comparative studies are left only conclusions of the dissertations and are practically not used in the development of political decisions in the field of education, the development of the principles of reforming and modernizing education in the country. We consider it is necessary to create a system for familiarization of the competent authorities responsible for the formation of educational policy in Ukraine, with important conclusions of comparative studies, in particular, of doctoral level.

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)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.007
Science and technology studies0.0060.009
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.409
Teacher spread0.330 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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