Transnationalism Undermining the Canon: A Close and Distant Reading of Several Transatlantic Literary Networks in Translation
Bibliographic record
Abstract
This essay argues that random acts of poetry translation in transnational context play a significant role in turning any apparently homogenous literary system into a network with many access points. In doing so, they overtly or covertly undermine the idea of a literary canon, since they position, more or less explicitly, such canon against their own literary taste and network of acquaintances. In addition, the lack of financial conditioning makes this kind of translation barters reach literary audiences more easily. Since these exchanges are more commonly initiated by translators working in lesser-known languages, it follows that transnational translation barters level out cultural imbalances by having the translator-poets’ work translated into languages of wider circulation. This contribution presents four kinds of transnational exchanges in Romanian context and argues that more complex translation mechanisms result into a more open, more diverse, and a more dynamic literary scene, in which translators play a prominent role. From a methodological point of view, this essay combines the traditional close reading of the texts and paratexts with quantitative analysis and network visualization to lay out the blueprint of Romanian translations of US and Canadian poetry in periodicals between 2007 and 2017 and quantify the number of random exchanges against a transnational backdrop.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".