Bibliographic record
Abstract
Louisianan fiction has consistently represented society as multilingual and multicultural as well as divided by class, race and gender boundaries. Two 19th century works, in particular, exemplify this in ways that suggest problematics of translation that can be fruitfully explored from an examination of Louisiana’s colonial history and a postcolonial perspective focused on ‘bordering’. This notion was first proposed by Naoki Sakai (2010) and, through a postcolonial and translational reading of The Grandissimes: A Story of Creole Life (1899) by George Washington Cable and The Mysteries of New Orleans by the German immigrant Baron Ludwig von Reizenstein (1854-1855), this study will explore how useful 21st century border theories are for a deeper understanding of earlier multicultural contexts. Since both novels are set in New Orleans, this essay confines itself to the analysis of 19th century society in that city. An examination of the central role played by translation in intercultural negotiation leads to considerations of issues related to the concepts of border, bordering, culture, nation and language. Within a theoretical framework drawn from recent scholarship in the field of translation studies, this paper argues that 19th century authors were well aware of the postcolonial conditions—porous borders between languages and identities; need of or resistance to translation; continuity within discontinuity—present in New Orleans and used various strategies to evoke these in their writings as a venue for an expression of social criticism.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".