Bibliographic record
Abstract
One of the stories through which tourist guides convey recent Czech history to Western tourists is that of Václav Havel. Because the former president is also presented as a symbol of the Velvet Revolution, his story becomes a part of the story of life under communism in former Czechoslovakia. What narrative strategies are used to create Havel’s portrait? What topics are emphasized? What literary figures are used, and to what schemes do they refer? In other words: what type of literary character does Havel represent? To highlight Havel as a type of a literary character, the hagiographic method is used, in which the real text message is revealed through the individual stories of saints. More of the same schemes, hidden in the deeper layer of the narrative, can be found in the story of Václav Havel. The analysis of the often-repeated metaphors of tourist discourse outlines the role of metaphor in the text. Last, but not least, the text reflects the role of symbolic places, especially how their connection to the story of Václav Havel helps emphasize certain motifs and thus influences not only the final form of the portrait of Havel, but also that of the nation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".