“Too Much Earthquakes!”: Imagined Transnationalism and Heritage Language Development Trajectories Two Generations After Exile
Bibliographic record
Abstract
International travel is still commonly touted as one of the most effective tools for language learning, yet it remains an elusive activity for those without a certain amount of economic or legal privilege. Although physical return to the home country is not always possible for refugees and their families—even one or more generation after arrival—imagined forms of travel, or ”imagined transnationalism,” is. Drawing on multiple data sources from a year-long, multi-sited ethnographic case study, in this paper I examine how the two young grandchildren of Chileans who arrived in Canada as refugees in the 1970s were imagining their heritage country through different modes, based largely on stories they had been told about it, including those related to their family's exile. The findings suggest that difficult knowledge is a cultural value for some families, and have implications for supporting heritage language learners whose family's experience of migration was spurred by conflict.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| 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".