Bibliographic record
Abstract
The research is aimed at students and others who study contemporary foreign literature and Canadian literature in particular.It may interest everyone who is engaged in history and culture of Canada.The research emphasizes the most outstanding Canadian prose writers such as Alice Munro and Timothy Findley, and gives short summaries of some of their works after brief biographical data about each author.The article underlines that Canadian literature is now being actively researched in Ukraine and it is worth of being analyzed as it can boast of many outstanding writers.The short stories of two of them, famous and prolific Canadians Findley and Munro, have been chosen as the material for this article.The article emphasizes the genre of the short story in Canadian literature and is based on such short stories as Dreams by Findley and the short story collection Dear Life by Munro.The analysis of each block begins with short data about the author and continues by underlining details of the stories as the distinctive style of the author.Psychological peculiarities of each author's writing are discussed.The short list of the researchers who have analyzed the same issue is also submitted.Timothy Findley is usually perceived as a writer of serious prose and only some of his admirers know that the Canadian has some bright examples of the short story genre.One of his works in this area is highlighted in the article.On the contrary Alice Munro is famous for her short stories but usually names of these pieces or collections of stories can't be enumerated by students either.This paper draws the attention of readers to one of Munro's collections of short stories that also features autobiographical elements.In general the article tries to give the audience an impression that Canadian literature is unique in its style and boasts eminent authors with high writing standards.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.026 | 0.014 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.029 | 0.005 |
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".