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Record W2281085237

La caduta tragica dell'uomo : Archetipi letterari in Dino Buzzati

2016· article· it· W2281085237 on OpenAlexaboutno aff
Sofia Söderberg

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2016
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArchetypePhilosophyHumanitiesArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.020
GPT teacher head0.237
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)Same topicItalian Literature and CultureFrench-language works237,207