Translating the Daughter’s Consciousness in Genni Gunn’s Tracing Iris
Bibliographic record
Abstract
This article examines Genni Gunn’s novel Tracing Iris (2001) and its Italian translation Alla ricerca di Iris (2022) with a focus on the representation of the mother-daughter relationship, a recurring theme in Italian-Canadian women’s writing and a fruitful object of investigation in Translation Studies as it offers new insights into women’s writing and the crucial role played by the maternal figure in the formation of female identity. Unlike most Italian-Canadian daughter-centric first-person narratives, which commonly represent a conflictual relationship with the Italian maternal figure, seen as the embodiment of Italian culture, Tracing Iris is a third-person narrative whose omniscient narrator presents an absent mother and a daughter searching for her. However, what will be shown here is that the narrator’s point of view, in fact, still relies on the fictional daughter’s consciousness. In light of Translation Studies scholars arguing that the narrative point of view inevitably undergoes changes in translation, this analysis will show whether the fictional daughter’s consciousness is still reflected in Alla ricerca di Iris. Five source- and target-text passages will therefore be scrutinized with a focus on the translator’s lexical choices and any changes that these might have implied.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".