ЗНАЧЕННЯ ХУДОЖНЬОЇ ДЕТАЛІ ЯК ФАКТОРА ПОЕТИЧНОСТІ ПРОЗИ В ОПОВІДАННЯХ АМЕРИКАНСЬКИХ І КАНАДСЬКИХ ПИСЬМЕННИКІВ
Bibliographic record
Abstract
The article considers the role and functions of artistic detail in the contemporary short stories. The investigation involved the flash fiction stories by the American writers written after the year 2020 and several short stories by the outstanding Canadian writer Alice Munro. The aim of the research is determining the major devices of prose poeticalness in these texts and revealing the role of artistic detail in creating poeticalness.Prose poeticalness is defined as such property of a prose text which involves the priority of poetic function and envisages the introduction of poetical features into prose – stylistic convergence, phonetical repetitions, parallelism, rhythm. Stylistic convergence can be considered the most foregrounded device of poeticalness as it involves the accumulation of different stylistic devices which add expressiveness to each other (M.Riffaterre). Our investigation shows that convergences function in strong positions of texts- the initial or final text fragments. Artistic detail is the object or some feature of the object which acquires special importance in the literary text (V.A.Kukharenko). Artistic detail is usually associated with metonymy or synecdoche, but unlike these tropes, it embraces the whole text. In the flash fiction stories and the short stories by A.Munro the major artistic details are objects like a coin (L.Wilson), a brooch (A.Munro), a glove (D.Shea) or a feature of appearance like a bruise (S.Dybek). These details characterize people’s behavior, their dreams and aspirations. Therefore, they symbolize love, friendship, sympathy and give polysemantic character to the narration. Another result of our investigation is determining the metaphoric detail (G.Paley) in the description of the woman, the mother of the defendant. Thus, the emotional effect of the artistic detail is realized in the metaphoric similes comparing the woman to the faded flower. These artistic details in combination with stylistic convergence create the impression of the texts as modern parables. The theoretical novelty of our research lies in the analysis of artistic details from the viewpoint of poeticalnees as well as in revealing the significance of emotional effect for prose poeticalness.The prospects of further research lie in the investigation of poeticalness in other genres of modern prose.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".