Poets of Bifurcated Tongues, or on the Plurilingualism of Canadian-Hungarian Poets
Bibliographic record
Abstract
Poets of Bifurcated Tongues, or on the plurilingualism of Canadian-Hungarian Poets — This article aims at an analysis of the plurilingualism of four poets of Hungarian origin, living in Canada: Robert Zend, George Vitéz, László Kemenes Géfin and Endre Farkas. Before examining the poems themselves, the various concepts of plurilingualism and the aspects of grouping these poems, including the code-switching strategies used in them, are reviewed. The base language and the nature of code-switching is discussed with a special emphasis on the relationship of grammatical units, intra- and intersentential switches within contexts where plurilingualism occurs. The first three poets have become bilinguals as adults: they form part of Hungarian literature as well as of Canadian writing. The last one, however, has a childhood bilingualism and is considered an English-Canadian Poet. Since they have a twofold minority status (Hungarian origins, plus writing in English in Montréal), analysis of these poets requires a special approach. The main hypothesis of the article is that, when using more than one language within the same work, the author is able to reach special effects which would be otherwise impossible. These poems, plurilingual in nature, also show that, for these authors, language is of multiple use: not only is language a tool of communication, but also the theme of some of their poems: they are often self-reflexive, making formal and semantic experimentation possible.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".