Экологические послания канадской литературы для юношества и их переводная рецепция в Болгарии
Bibliographic record
Abstract
The projection of the best achievements of western literature for young adults in ecological aspect is occurred in the former dominions where the European languages became official and there was not only a certain economic and political but also a cultural influence, a major part of which was the ecological element.An example of this is the Canadian literature for young adults, which has had a leading role in two thematic aspects: the animalistic ecological and science fiction. The first is its “ID card” that it has been recognized for in the world for over a century. In its classical period the most prominent name was undoubtedly Ernest Thompson Seton (1860-1946) and in the second half of the 20th century one of the most famous writers was Farley Mowat (1921-2014). We studied the reception of their translated works in Bulgaria in the 20th century.Ernest Thompson Seton’s books have been translated into Bulgarian since 1906 but the ecological topic has been presented one-sidedly: they do not include the popular scouting fiction. In the 1920s and 1930s only part of it was published in children’s and young adults’ periodicals. Farley Mowat was mostly translated in the 1980s and 1990s, his book Never Cry Wolf gaining the greatest public acclaim. In both writers’ works tendentiousness and didacticism was ignored to give room to altruistic messages.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".