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Record W3162653710 · doi:10.1177/00336882211009314

Extending the L2 Motivational Self System to the Global EAL Classroom

2021· article· en· W3162653710 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

VenueRELC Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of VictoriaYorkville University
Fundersnot available
KeywordsScholarshipPedagogyAgency (philosophy)Entitlement (fair division)AutonomySituatedPsychologySociocultural evolutionMathematics educationDiversity (politics)SociologySocial sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

A growing interest has been witnessed in analysing second language (L2) learner motivation in English as an Additional Language (EAL) instruction around the world. Despite extensive scholarship in this area, revisiting learner motivation is warranted due to some unprecedented developments that impact EAL teaching, such as the prevalence of World Englishes, ethno-linguistically diverse classrooms, and the social as well as situated nature of teaching and learning. The aim of this article is to expand on Dörnyei’s L2 Motivational Self System framework to inform classroom instruction in globally growing EAL teaching. The expansion entails three sociocultural dimensions in the EAL classroom: diversity, inclusivity, and entitlement. This expanded framework can potentially equip EAL educators to better address the demands of a rapidly changing world. Moreover, the framework can also serve as an impetus for learner success in EAL classrooms and the recognition of their individual characteristics, such as self-regulation, autonomy, and agency, which are highly emphasized in postmodern L2 pedagogy.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.250
Teacher spread0.227 · 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