Деградация семьи в романе В.П. Аст Афьева «Печальный детектив» и романе Р. Сенчина «Елтышевы»
Bibliographic record
Abstract
The aim of this article is comparative analysis of prose by Victor Astafiev and Roman Sienchin. \nThe protagonists of both novels are policemen who have completed their work and try to find them selves in the new reality. The lives of their families are somehow suspended between town and country, which is no longer the mainstay of moral values, work ethic, and contact with nature. \nThe two novels are separated by a quarter of a century. “Sad Detective” by Astafiev is a record of the downfall of Soviet society in the era of the approaching change, for which there is no sanctity and authority. Astafiev saw the rescue for Russia only in the institution of the family in her patriarchal variety. Roman Sienchin’s “The Eltyshevs” can be interpreted as one of the possible variants of the fate of a society that does not comply with Astafiev’s recommendations. The family as the fundamental social institution did not meet the desirable expectations. Suffering numerous “diseases” it is not able to fulfill its eternal functions. Unlike Astafiev, Sienchin does not judge his characters and does not give them advice for the future. It \nis hard not to agree with the opinion of one of the researchers who defines the work as “a novel-diagnosis”. Diagnosis is given, but there is no prescription
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 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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.010 |
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".