Dwarfs in Giants’ Lands: Some Observations on Translating Minor Literatures into High-Impact Cultures – The Case of Slovene Literature in Italy
Bibliographic record
Abstract
The paper deals with questions related to the translation of literatures written in limited-diffusion languages and belonging to low-impact cultures into languages of high-impact cultures. The analysis is centred on the introduction and presence of Slovene literature in contemporary Italy, although the Italian situation shares a great deal of similarity with other situations of asymmetrical translational transfer. In an attempt to identify the elements playing a role in the successful integration of a peripheral literature in a high-impact target culture, four factors are postulated and discussed: a) target extra-textual setting, b) literary and genre-related properties of source texts and criteria for their selection, c) translator’s competence, d) translation strategies employed. It is suggested that a consistently target-oriented approach is central to a positive reception of a peripheral literature in a high-impact target setting.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".