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Record W3032978494 · doi:10.1177/0033688220920371

Language Teaching Methodology as a Lived Experience: An Autoethnography from China

2020· article· en· W3032978494 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 · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAutoethnographySociologyPedagogyPositivismConstruct (python library)Language educationChinaTeaching methodCurriculumMathematics educationPsychologyEpistemologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Research in language pedagogy often falls into the positivist trap of taking a desirable methodology as the ontological center and evaluating teachers’ teaching against it. Inspired by Snider et al.’s (1992) enactment approach to curriculum development, this article takes language teaching methodology as the lived experiences of students and teachers. From multiple roles and perspectives, the author recollects his personal history with different methodologies in English education in China from the 1980s to 2010s. Through this autoethnographic exploration, the author reflects on the shifting landscape of English education in China through the lens of his pedagogical lived experiences. The article also aims to rectify methodology as a theoretical construct in language education research, arguing that the gap between planned methodology and enacted methodology is the most fruitful space for pedagogical research in language education.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.167
GPT teacher head0.370
Teacher spread0.204 · 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