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Record W4386210435 · doi:10.1080/15348458.2023.2245028

“Too Much Earthquakes!”: Imagined Transnationalism and Heritage Language Development Trajectories Two Generations After Exile

2023· article· en· W4386210435 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Language Identity & Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPrivilege (computing)TransnationalismRefugeeRepresentation (politics)EthnographyInterpretation (philosophy)Value (mathematics)Gender studiesFamily reunificationSociologyPolitical scienceLinguisticsImmigrationLawAnthropology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.433
Teacher spread0.406 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it