Diaspora as a Distinct Site of Translational Activity: The Case of U.S. Immigrant Newspapers, 1917-1941
Bibliographic record
Abstract
This article argues for the study of translation in U.S. immigrant newspapers, a distinct intercultural context largely ignored in Translation Studies research. The article outlines methodological approaches for the study of translation in immigrant periodicals with the aim of identifying the various roles played by translation in diasporic communities. Based on approaches and methods developed in the field of Translation Studies for researching translation in newspapers, the analysis focuses on the (in)visibility of the translations, the direction of translation flows, and the domain of the translated texts. These categories contribute to our understanding of diaspora as a distinct site of translational activity, through which immigrant identities are constructed and relationships between the immigrant community and the dominant culture, between the immigrant community and its native language and culture, and between different generations within the immigrant community, are negotiated. Preliminary research of two immigrant foreign-language newspapers published in the U.S. in the interwar period, the SlovenianProsveta, and the RussianNovoe Russkoe Slovo, has documented a consistent presence of translations. The results suggest that translation in these two newspapers was deployed to different ends, reflecting the divergent political orientations of the newspapers and the distinct make-up of these immigrant communities. The study also reveals translation to be a tool of government surveillance.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".