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Record W2992850538 · doi:10.33137/q.i..v34i2.21052

The Diary of Elio Schmitz. Scenes from the World of Italo Svevo

2014· article· it· W2992850538 on OpenAlexvenueno aff
Carmine G. Di Biase, Saskia Elizabeth Ziolkowski

Bibliographic record

VenueQuaderni d italianistica · 2014
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

will not only be a valuable resource for Svevo specialists, but will also interest scholars who examine the variety of relationships between Italy, Germany, Austria, and Egypt. The diary, kept from 1880 until Schmitz's death in 1886, reveals a remarkable range of cultural interactions, prejudices, and ideas that both illuminate Svevo's work and reveal a young Triestine's picture of the late-nineteenth century. Like Svevo, Schmitz attended boarding school in Segnitz, Germany and observes the differences between German ("calm and unimpulsive") and Italian character. Schmitz also comments on the tensions among Slav and Italian representatives in Trieste during the 1880s, thus contributing to a reader's understanding of this complicated city. At the end of his life, after exhausting the advice of the medical community in Trieste, Schmitz travelled to Vienna (where he "saw anti-Semites all around") to seek new guidance for how to treat his nephritis. one Viennese doctor recommended Schmitz go to Cairo, where he wrote his last entry: "I am in Cairo, in this world that is new to me-in Africa-among Arabs or semi-Arabized Europeans" (107). Like Sir Richard F. Burton, the translator of The Arabian Nights who spent his last years in Trieste, Schmitz reveals the rich historical connections between Trieste and the broader Mediterranean.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.006

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.

Opus teacher head0.016
GPT teacher head0.226
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2014
Admission routes1
Has abstractyes

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