Bibliographic record
Abstract
To fully appreciate the thematic essence of the Italian short-story writer Dino Buzzati it is necessary to understand his use of literary archetypes. As these have been discussed by the Canadian literary critic Northrop Frye, the question for the study was whether his theory about the tragic mode could be mapped directly onto the themes of Buzzati and, if there were discrepancies, what impact they had on the received message. The study presupposed the archetypes found in the tragic mode of the fifth phase and in the low mimetic mode as described by Frye, exemplified by Adam and the episode of the fall of man, and found many of them in the short stories collection La boutique del mistero by Buzzati. The narrative follows the archetypal theory perfectly with the cause, fall and effect of the situation, and many tragic characters can be found, such as Adam. However, Frye’s seven cyclic worlds correspond in only five cases, whereas two violate the tragic archetypal laws: the cosmological and the vegetable worlds. The literary effect is that tragedy is perceived as occurring too soon in the protagonist’s life and described by the ironic observational writer as having no effect on the world, leaving the readers with the sense that they too might be excluded from society the way Adam was and prematurely die alone.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".