Розвиток медіакомпетентності студентів педагогічного коледжу (створення буктрейлерів за романами Любові Василів-Базюк) \n(Development of students’ media competence in the pedagogical college (creating book trailers on the novels by Lyubov Vasyliv-Baziuk)
Bibliographic record
Abstract
Якщо вважати формування медіакомпетентності одним із завдань медіаосвіти, то автор пропонує популяризувати художні твори через створення аматорських буктрейлерів. У статті проаналізовано етапи створення відеороликів, ознаки тексту, запропоновано текстовий матеріал для відеороликів за книгами канадської письменниці Любові Василів-Базюк, подано методичні вказівки щодо такого виду роботи. \n(Considering forming the media competence as one of the tasks of the media education, the author offers fiction through creating the amateur book trailers. The stages of creating the reels and characteristics of the text are named, the text material for the video reels on the books by the Canadian writer Lyubov Vasyliv Baziuk are proposed and methodical instructions are given for such a kind of work. The books by Lyubov Vasyliv-Baziuk («They served the church and native people», «In the whirl of to talitarian regime», «Don’t believe ...!», «Ukraine on the thorny way to spiritual liberation», «Five spikes», «Our destiny in grief and tears... Genocides in Ukraine», «Through the hell on the Earth», «Life roads») are considered to convey the question of patriotism as an indispensable feature of every Ukrainian.)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.021 | 0.003 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".