Bibliographic record
Abstract
Translation is a highly contested site in the Americas where different groups, often with competing literary or political interests, vie for space and approval. In its survey of these multiple and competing groups and its study of the geographic, socio-political and cultural aspects of translation, Edwin Gentzler’s book demonstrates that the Americas are a fruitful terrain for the field of translation studies. Building on research from a variety of disciplines including cultural studies, linguistics, feminism and ethnic studies and including case studies from Brazil, Canada and the Caribbean, this book shows that translation is one of the primary means by which a culture is constructed: translation in the Americas is less something that happens between separate and distinct cultures and more something that is capable of establishing those very cultures. Using a variety of texts and addressing minority and oppressed groups within cultures, Translation and Identity in the Americas highlights by example the cultural role translation policies play in a discriminatory process: the consequences of which can be social marginalization, loss of identity and psychological trauma. Translation and Identity the Americas will be critical reading for students and scholars of Translation Studies, Comparative Literature and Cultural Studies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".