Transformation of Value Orientations of Higher Education Applicants in Ukraine
Bibliographic record
Abstract
The relevance of the study stems from the role of higher education institutions in shaping the national values among students of pedagogical specialities (educators, future teachers, social workers). The purpose of this study is to investigate the transformation of value orientations of Ukrainian students in the process of developing a democratic society. The study compared data from two age groups (55-60 years old; 18-28 years old). The study used a conversation that involved closed and open-ended questions. The results of the survey were analysed using the cross-sectional method, and directions for further work with the data were drawn up. The anamnesis of the responses is presented in the tables. The empirical study identified the main value orientations among students of pedagogical higher education institutions of the past and present time; investigated the hierarchy of youth values of the 80s, 90s and 2021; compared the transformation processes and formulated the main reasons for their changes in the Soviet period and in the period of independent Ukraine; determined the "brand" phenomenon of modern youth of pedagogical specialties, analysed the way self-development and self-realisation becomes a paramount value of personal orientations among young students. The materials of the study are of practical significance for the process of forming value orientations in higher education institutions. It is necessary to shape system of values among students (future teachers) as they will transmit this knowledge to the younger generation in educational institutions of different levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".