TESOL in the New Era: Introduction to the 2021 Global English Education China Assembly Special Issue
Bibliographic record
Abstract
Welcome to the International Journal of TESOL Studies (IJTS) special issue for the 2021 Global English Education China Assembly (henceforth "the Assembly").This is the first of the three special issues of the 2021 Assembly (see also the Call for Papers at the end of this volume).Organised by China Daily in partnership with TESOL International Association, the Assembly is a high-level international English Language Teaching (ELT) event in China.The 2021 Assembly held in July in Hangzhou (Zhejiang Province, China) brought together over 3,000 attendees, both on site and online.They were ELT practitioners, scholars, and researchers in China and from abroad.On the Assembly platform, they exchanged experiences and views and shared research outputs.We are in a new era where one of the world's largest disruptions to daily life is still on-going.Despite the stress everyone is facing during the pandemic, contributors have been productive.As Guest Editors, we feel honoured and pleased to introduce the works of 17 scholars (including two prestigious interviewees) that appear in this volume.Prior to our introduction, we need to congratulate these fine scholars for their work completed successfully in the new era.This special issue features 11 papers from TESOL experts, researchers, and practitioners based not only in China but also in other countries including Canada, the UK, and the USA.These 11 papers are followed by two interviews respectively with two renowned scholars conducted by Ms. Peng Lun, Editor-in-Chief of the Assembly Special Issues.These papers use a wide variety of approaches, ranging from experimental designs, corpus-based methods, survey-based studies, case studies, to mix-methods research.The first paper, entitled "Measuring Chinese EFL Learners' Implicit and Explicit Knowledge of Relative Clauses" by Lei Zhang, adds to the line of research examining the three theoretical hypotheses concerning the acquisition of relative clauses: the Noun Phrase Accessibility Hierarchy Hypothesis, the Perceptual Differential Hypothesis, and the Subject-Object Hierarchy Hypothesis.Zhang utilised an experiment-based design, where the participants (viz.Chinese EFL learners from one university in China) were asked to do the same grammaticality judgment and sentence combination tasks within the allocated time.This paper contributes to furthering our understanding of the hypotheses mentioned above.The second paper, "Use of English Phrasal Verbs of Chinese Students Across Proficiency Levels:
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.049 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".