Framing Cultural Identity and Space through Translation: The Case of Shulamis Yelin's Fiction
Bibliographic record
Abstract
The overall aim of this paper is to approach the question of linguistic and cultural translation and its influence on the configuration of distinctive cultural spaces in Yelin’s collection Shulamis. Stories from a Montreal Childhood. The main character of this collection struggles between worlds –which are, to a certain extent, symbolised by the use and allusion to English, Yiddish and French— in search of her own linguistic and cultural identity. Thus, the confrontation of different spaces and the need to translate one’s experience becomes a significant element in Yelin’s writing. The stories in this collection present Canada’s spirit of respect and equitable treatment for all cultures and identities while showing the difficulties immigrants had to face as well as the dangers of acculturation. In this paper, we examine the construction of different cultural spaces from a theoretical perspective which considers the importance of some cultural and linguistic processes associated with code-switching (Poplack, 1984, Myers-Scotton, 1993, 2006), giving due attention to the phenomena of linguistic and cultural translation (Bhabha, [1994] 2006, Tymoczko, 2000, Trivedi, 2005). Also, we look at the position of Shulamis Yelin as a writer who wishes to translate worlds for her readers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.026 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".