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Record W2550355084 · doi:10.37119/ojs2016.v22i2.306

“I’m Still Angry!” A Korean Student’s Self-Negotiation in her Canadian Classroom

2016· article· en· W2550355084 on OpenAlexaffvenueabout
Jennifer Burton

Bibliographic record

Venuein education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsIdentity (music)Subject (documents)NegotiationAgency (philosophy)PedagogyGrounded theoryPsychologyQualitative researchSociologyLinguisticsComputer science

Abstract

fetched live from OpenAlex

Grounded in poststructuralist understandings of language and identity and Davies and Harré’s (1990) positioning theory, this paper explores one South Korean student’s educational experiences in her English as a Second Language (ESL) classroom, specifically related to subject positions and identity construction pertaining to language. Using a researcher diary, semi-structured interviews, and dialogue journals with one Korean university student, this paper reports findings from a qualitative study. The findings suggest a critical awareness of the effects of positioning on language learning experiences. The results indicate that although a student may exercise agency to take up or resist subject positions, this positioning is part of a greater discourse, generally outside the control of the student that constructs identity through particular social experiences. The results of this study will be of interest to researchers in the areas of language identity, second language learning, and higher education in the 21st century. Keywords: power; positioning; subject positions; identity; English language; discourse; international students

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.

How this classification was reachedexpand

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)0.000
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 score0.325
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.427
Teacher spread0.397 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes3
Has abstractyes

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