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Record W2936067318 · doi:10.1080/15348458.2019.1569524

Making “Second Generation,” Inflicting Linguistic Injuries: An Ethnography of a Mainland Chinese Church in Canada

2019· article· en· W2936067318 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Language Identity & Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyLinguisticsEthnographyIdeologyInterpersonal communicationPoliticsLawAnthropologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Based on a larger ethnography, this article explores intergenerational relationships between First-Generation Immigrants and Second-Generation youth and focuses on psychological damages (Piller, 2016), particularly linguistic injuries, within a new mainland Chinese church in Canada. Specifically, I show why Second-Generation young people were largely separated into the English congregation, with little support from the parent generation in the Mandarin congregation. Drawing on language and non-language ideologies (Bucholtz, 2001) and semiotic processes of differentiation (Irvine & Gal, 2000), particularly fractal recursivity, focusing on relevant practices and discourses, I analyze and delineate linguistic injuries suffered and perpetuated by First- and Second-Generation members. Exploring their origins and manifestations, I tentatively define linguistic injuries as psychological damages caused by judgement based on language or language use at the interpersonal and institutional levels, but originated from “structures” such as ideology and legislation. Implications and future directions of this research are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.040
GPT teacher head0.457
Teacher spread0.417 · 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