“Wor(l)d”: experienced and aesthetic multilingualism in Akvilina Cicėnaitė‘s novel “Anglų kalbos žodynas” / “A dictionary of English” (2022)
Bibliographic record
Abstract
This paper proposes a discussion of Akvilina Cicėnaitė’s critically acclaimed novel Anglų kalbos žodynas [A Dictionary of English] (2022) whose each chapter uses an English word as its title. In the text itself, foreign (mostly English, but also French) words and phrases intrude into the Lithuanian text in various ways. The novel focuses on the figure of a Lithuanian immigrant and her French-Canadian husband in Australia, finding themselves in the state of constant translation between languages, different realities, and cultures. They both are “nomadic citizens,” i.e. “polyglots travelling in between languages, in a permanent stage of (self-)translation” (Meylaerts 2013: 522). While in the last years, literary texts exploring the issues of mobility and employing various forms of multilingualism have received significant attention, in the context of Lithuanian literature, this aspect has not been analyzed much (e.g. Eidukevičienė 2020). Drawing on theoretical propositions about multilingualism by Werner Helmich (2016), Till Dembeck (2020) and others, this paper seeks to discuss not only the manifestations of multilingualism in the selected novel, particularly, explicit multilingualism (how it is marked, placed, integrated, etc.) and various forms of latent multilingualism (Deganutti 2022), but also the functions multilingual structures perform in the text. Multilingualism in the novel foregrounds both the characters’ experiences while they are exploring and adjusting to Australian realia (“experienced” multilingualism) and the linguistic play the writer engages to convey them, introducing “aesthetic or rhetoric patterns” into the text (“aesthetic” multilingualism) (Dembeck & Uhrmacher 2016).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".