A Canadian-based online English educational company promoting equity of education in rural China
Bibliographic record
Abstract
In 2001, Ministry of Education of China announced that English would be a compulsory subject in public school in China; however, local education departments and individual schools have the flexibility to decide what grade to start English lessons. During the last decade, the disparities in English learning between rural and urban schools has generated a lot of attention due to the unbalanced economic development between coastal and inland regions. This paper examines one longitudinal case study of 36 grade one students from the rural area Yichun in Jiangxi, one of the poorest provinces in China, learning English online with qualified English as a Second Language (ESL) teachers from Canada through a Canadian based EdTech Yorke Communicative Education Ltd. (YorkeOnline) Key findings indicate that online learning could not only help students in rural areas improve their English language abilities, but also instil greater confidence and positive attitudes towards studying English. The findings also suggest that applying the same method to other rural regions could help promote equity of education in English language study in China.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".