“Happyends” by Jaroslava Blazkova (Czechoslovakia-Сanada-Slovakia)
Bibliographic record
Abstract
Jaroslava Blažková (1933–2017) belonged to the generation of Slovak writers who came to literature in the late 1950s and early 1960s, to the generation of rebels of the “sixties” who gathered around the magazine Mladá Tvorba. The first works that made the writer’s name famous were the short story “Nylonový mesiac” (1961) and the collection of short stories “Jahniatko a grandi” (1964). In 1968, Blazhkova and her family were forced to leave the country and remained in Canada for the rest of her life. In the 1970s–1980s. she was engaged in journalistic activities and collaborated with Czech emigrant writers J. Škvorecki and Z. Salivarová. After the “gentle revolution of 1989” she got the opportunity to come to her homeland, appear in print, and publish books. In Slovakia, her collections “...ako z gratulačnej karty” (1997), “Svadba v Káne Galilejskej” (2001) were published, which included stories from the 1960s, and then written in the early 2000s. a novel in letters “Happyendy” (2005), based on the writer’s own dramatic experience of caring for her seriously ill husband, on her memories and reflections, imbued with irony and optimism. In the 2000s. In Slovakia, Blažková’s books for children and youth were published and became successful.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".