Modern Museum Communications as a Means of Visitors Attracting
Bibliographic record
Abstract
The purpose of the study is to analyze the websites of museums in Russia in the European context. The Fine Arts museums in five regional centers of Russia and European Union, namely, in France, Germany, Poland, Croatia, and Lithuania were chosen for the assessment of their websites by four criteria: design, content, usability, and dynamism. A rating of the target Russian museum websites was compiled based on a comparative analysis of their compliance with these criteria. The findings allow concluding that some of the web resources of Russian regional museums meet the European standards, which let them powerfully join the modern virtual space and win both Russian and foreign audiences. The scienсe-based approach to a single virtual cultural space, which is currently on the focus of the museum institutions, supports the assumption of the museum websites to be a potent tool for the art communication with society. The practical value of the study is determined by possible uses of the results in streamlining and upgrading the museum sites, as well as in courses and training programs on museology, management, and marketing of social and cultural activities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".