UND professor named long-list finalist for National Translation Award
Bibliographic record
Abstract
Elizabeth Harris, associate professor of creative writing in the UND English Department, has been named one of 12 long-list finalists for the National Translation Award (NTA) for her 2014 translation of the story collection, This is the Garden, originally written in Italian by Giulio Mozzi. According to the award judges, Harris “has lyrically channeled the many voices of Giulio Mozzi,” calling her work “precisely crafted” and “perfectly suited” to the piece she translated. If she wins the NTA, which is presented by the American Literary Translators Association (ALTA), Harris will receive $5,000 and be featured at the annual ALTA conference. Harris came to UND in 2004 from a position at Bluffton College in Ohio. At UND, she teaches fiction writing, literature and, occasionally, a course on literary translation. In 2013, Harris won the Translation Prize from the Italian Ministry of Foreign Culture, along with the PEN/Heim Translation Fund Award from the PEN American Center in New York. She has also held a Banff International Centre Translation Residency in Banff, Canada. Throughout her career, Harris has translated or is in the process of translating four books, and has more than 30 published translations of stories, novel excerpts and commentaries on translation. After receiving her bachelor’s degree from the University of Minnesota, Harris went on to earn a master’s degree in creative writing from Johns Hopkins University, as well as two master of fine arts degrees from the University of Arkansas — one in creative writing and the other in literary translation.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.452 | 0.290 |
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".