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Record W1996706698 · doi:10.1017/s0267190514000166

Ethnic Identity and Second Language Learning

2015· article· en· W1996706698 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.

Bibliographic record

VenueAnnual Review of Applied Linguistics · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsConcordia University
Fundersnot available
KeywordsEthnic groupIdentity (music)FeelingPsychologySocial psychologyPerspective (graphical)Framing (construction)First languageSociologyLinguisticsAnthropologyComputer scienceGeographyAesthetics

Abstract

fetched live from OpenAlex

ABSTRACT Ethnic identity refers to the subjective experience embracing the feelings, experiences, and behaviors through which people position their membership in a single or multiple ethnic groups. The goal of this article is to integrate evidence from social psychology and applied linguistics, by focusing on the identity–language link from the perspective most relevant to second language (L2) development, namely, by considering how ethnic identity might be implicated in L2 learning. We first define and contextualize ethnic identity and its possible relationships to language. We then review recent empirical evidence for the link between ethnic identity and L2 measures, and we speculate on whether this link represents a bidirectional relationship whereby ethnic identity and language are interlocked through self-reinforcing processes and mediated through language users’ experience with language. We conclude by framing research on ethnic identity within sociocognitive views of L2 learning and describe several possible avenues for advancing this area of research.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.490
Teacher spread0.407 · 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