A micro-centric network. Post-communist Romanian mainstream and indie publishers of U.S. and Canadian contemporary poetry in translation
Bibliographic record
Abstract
This essay examines the corpus of contemporary American and Canadian poetry translated into Romanian in stand-alone volumes between 1990 and 2017 and argues that translators had a deciding impact on the selection of authors, as well as on the configuration of the overall translation network. Romanian poet-translators engaged in an outward cultural movement that galvanized both their own writing and the national literature in general. In doing so, they developed various types of agency covering a wide range of translating patters, from no agency at all to full self-reliance, and a poetics of fecundity that testifies to their engagement with global events and with the microcosm of local literature. Engendered by an assumed material precariousness and by an overt desire for permanent change and synchronous alignment with world literature, these practices should be seen from a micro-centric perspective, that is, paramount in establishing positive relationships with U.S. and Canadian poetries and energizing the local literary scene, rather than simply reflective of a ‘minor’ mode of existence in the global and geopolitical arenas.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.015 |
| Science and technology studies | 0.019 | 0.023 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".