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Record W299958778

Экологические послания канадской литературы для юношества и их переводная рецепция в Болгарии

2014· article· ru· W299958778 on OpenAlexaboutno aff
Терзиева Маргарита Тодорова

Bibliographic record

VenueГуманитарный вектор. Серия: Филология, востоковедение · 2014
Typearticle
Languageru
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsDidacticismHistoryBulgarianSociologyClassicsLiteraturePolitical scienceArtLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0060.003
Open science0.0050.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0420.015

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.

Opus teacher head0.010
GPT teacher head0.210
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueГуманитарный вектор. Серия: Филология, востоковедениеSame topicThemes in Literature AnalysisFrench-language works237,207