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Record W2497038777 · doi:10.1075/aals.12.02duf

Chapter 1. Language socialization into Chinese language and “Chineseness” in diaspora communities

2014· book-chapter· en· W2497038777 on OpenAlex
Patricia A. Duff

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.

Bibliographic record

VenueAILA applied linguistics series · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocializationDiasporaSociologyNarrativePedagogySocial scienceGender studiesLinguistics

Abstract

fetched live from OpenAlex

Language socialization research provides a rich, socioculturally-oriented theoretical framework and set of analytic tools for examining the experiences of newcomers and other novices learning language in a range of educational settings, both formal and informal. This chapter first presents an overview of language socialization principles and then highlights several personal narratives of language socialization within Chinese diaspora communities in different geographical settings. Next, studies on Chinese heritage-language socialization are examined with a focus on the functions and forms of codeswitching, shaming, narrativity, the socialization of taste during meals, and literacy texts in traditional Chinese diaspora homes as well as in ethnically mixed or blended ones. The chapter recommends, in closing, that future research should examine to a greater extent continuities, discontinuities, syncretism, and innovations in Chinese language learning and use across home, school, and community settings and across multiple timescales in order to better understand the relationship between being and knowing/using Chinese in contemporary societies.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.360
Teacher spread0.338 · 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