Mothering across Languages and Cultures in Ying Chen’s Letters to Her Children
Bibliographic record
Abstract
Due to intensifying global mobility, increasing numbers of women find themselves mothering in countries that, are linguistically and culturally foreign to them. They must deal with issues related to multilingualism, shifting identities and belonging. The essays La Lenteur des montagnes (The Slowness of the Mountains, 2014) and &s;Lettre d&s;Umbertide&s; (&s;Letter from Umbertide&s;, 2004) by the Chinese-born Canadian author Ying Chen provide a vivid example. Using recent research on contemporary Asian women&s;s writing in the diaspora and notions of écriture migrante (&s;migrant writing&s;) as well as nomadic consciousness as a framework, this article explores how Chen&s;s essays envision what it means and feels like to be a mother of Chinese origin in contemporary Canada. This work proffers wider understandings of the condition of migrant mothering as it touches on critical debates around literatures of mobility .
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".