From a story for adults to a fairy-tale for children: The case of f. M. Dostoevsky’s story “The beggar boy at christ’s christmas tree”
Bibliographic record
Abstract
The article deals with some methodological, textual and critical-pedagogical issues related to the transformation of a story for adults into a fairy-tale for children. Dostoevsky’s story “The beggar boy at Christ’s Christmas tree” is a particularly significant example that allows to trace, on one hand, the attitude of Russian pedagogical criticism to the fantastic elements in the last quarter of 19 th century, and on the other, the variability of social forces affecting the entry of a work into children’s literary canon. The story was first published in January issue of Diary of a Writer (1876), and in the following year was included in the collection Thirty Best New Tales by V. P. Avenarius, and in 1882 in the collection Exemplary Russian Tales for Children. In the 1880s and 1890s, the story appeared in various children’s publications, provoking controversial reactions among pedagogical critics and in institutions responsible f
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.026 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".