Goytisolo & Barral, Literary Bridges Between Latin America and Italy
Bibliographic record
Abstract
This article explains how some of the most representative authors of the Latin American literary boom became part of the Italian literary and publishing world. This phenomenon was thanks, in part, to the connections established by members of the so-called Escuela de Barcelona (Carlos Barral, José Agustín Goytisolo and Josep Maria Castellet) with the most important Italian editors at the time. The article focuses on the 1950s and 1960s, decades in which these authors gradually began to make themselves known in Italy. From Barcelona, Barral, Goytisolo and Castellet, were the first to establish close contacts with Italo Calvino and Giulio Einaudi. The constant dialogue between Barral and Calvino facilitated the ‘penetration’ of the latest work coming from Latin America into the Italian literary world. Moreover, one should not forget the important work of the publisher Giangiacomo Feltrinelli in this regard. He was undoubtedly the editor who published most of the Latin American literature in Italy during that period.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".