UND English professor’s translation of Italian novel celebrated, launched
Bibliographic record
Abstract
Elizabeth Harris gave a reading from her new book in Brooklyn, and lectured at Columbia University and Barnard College in November Elizabeth Harris, professor of English, has translated Antonio Tabucchi's bestselling novel, Tristano Dies, from Italian. It was made available recently by Archipelago Books. Tabucchi, who died in 2012, is considered one of the most important writers of postwar Italy. He published over 20 works of fiction, won the Italian PEN Prize and the Aristeion European Literature Prize and was named a Chevalier des Arts et des Lettres by the French Government. For her translation of his later novel, Tristano Muore, Harris won a PEN/Heim Translation Fund Grant. The launch of Tristano Dies was celebrated Nov. 9, in Brooklyn, New York, at Book Court, where Harris gave a reading from her translation and then was interviewed by poet Honor Moore. Harris also visited with translation students at Columbia University and Barnard College. Harris, who specializes in teaching Creative writing at UND, has been previously recognized for her work in literary translation. Harris was awarded the 2013 Translation Prize from the Italian Ministry of Foreign Culture (Rome) for Mario Rigoni Stern’s Giacomo’s Seasons and a Banff International Centre Translation Residency (Banff, Canada). In addition to the three books she has translated, Harris has more than 30 published translations of stories, novel excerpts and commentaries or translation in various journals, such as The Massachusetts Review. Her translations have appeared three times in the anthology Best European Fiction (Dalkey Archive Press), including work by Giulio Mozzi (2010) and Marco Candida (2011).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.101 | 0.047 |
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".