CrossMedia Platform as a Tool for Promoting the Cultural Heritage of the Ukrainian Diaspora in the Conditions of Development of a Digital Society
Bibliographic record
Abstract
The relevance of the research topic is determined by the socio-cultural processes in modern Ukraine. Therefore, the study and popularization of the cultural heritage of the Ukrainian diaspora among the youth with the help of information and communication technologies during the development of a digital society becomes especially relevant. The purpose of the work is to use a cross-media platform as an application in information and communication technologies to popularize the cultural heritage of the Ukrainian diaspora under the conditions of a digital society formation. The research methodology is based on the application of general scientific and special research methods. In particular, the method of historical and source research, analysis of scientific literature, methods of analysis and synthesis, content analysis, comparative and analytical monitoring of Internet resources, as well as the “Tree of Goals” method were used. The results. As a result of scientific research, a cross-media platform project was implemented as a means of popularizing the cultural heritage of the Ukrainian diaspora using a virtual exhibition in the form of a website, a Telegram channel, and an Instagram page. The main stages of the product creation were described, the approbation of the project was carried out and its possibilities as a tool for spreading knowledge about the cultural heritage of the Ukrainian diaspora were determined. The scientific novelty of the obtained results lies in the fact that the process of representation and popularization of the cultural heritage of the Ukrainian diaspora using a cross-media platform as a means of educational activity under the conditions of a digital society formation, was for the first time clarified. The practical significance. The practical significance of the results of the work is that the conducted research will allow teachers to increase student/pupil interest in the cultural heritage of the Ukrainian diaspora in thematic courses, allow implementation of projects using a cross-media platform, and provide students/pupils an additional platform for studying this material or representing their creative projects. Conclusions. It is established that a cross-media platform is a method of communication that involves a dialogue with the audience through the use of multimedia and various platforms for communication.
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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 | 0.002 | 0.001 |
| 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 | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".