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Record W4200105677 · doi:10.32370/ia_2021_12_22

Postgraduate Education for Heads of General Secondary Education Institutions of Ukraine: History and Nowadays

2021· article· en· W4200105677 on OpenAlexvenueno aff
Yana Vyshnevska

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumProfessional developmentLifelong learningGeneral educationPedagogyHigher educationPolitical scienceMathematics educationSociologyPsychologyLaw

Abstract

fetched live from OpenAlex

Characterized the development of postgraduate education of heads of general secondary education institutions of Ukraine at different stages of its forming. It is found that the tasks set by the state leadership for the secondary school directly influenced the transformation of the content, forms and methods of professional development of managing teaching staff. The characteristic of modern conditions of organizing postgraduate education of heads of general secondary education institutions has been provided. Dynamics and characteristic features of transformation of the legal framework regarding education, updating and filling educational framework with new documents have been established. These documents summarize the qualification requirements and the structure of competences of modern heads of general secondary education institutions according to their functional responsibilities. The orientation of postgraduate education of heads (headmasters/headmistresses) of general secondary education to the general structure of professional competences defined in national standards and standard curricula has been substantiated. It is proved that the model of lifelong education for school headmasters/headmistresses requires its improvement in the direction of increasing the level of managerial training and development of professional competences of headmasters/headmistresses in a rapidly and dynamically renewed school education throughout the period of professional activity of the heads.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.050
GPT teacher head0.344
Teacher spread0.294 · 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 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
Published2021
Admission routes1
Has abstractyes

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