Analyzing Task Types Used in Four High School English Textbooks in China
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.
Bibliographic record
Abstract
In the past decade, many scholars conducted research concerning cultural content, policy changes, and other issues in the field of EFL textbook evaluation in China. However, a limited number of studies shift their attention to task types used in EFL textbooks. This study employs Nunan’s (1999) task taxonomy to investigate how task types are presented in four main government-approved English textbooks at high school level in China and use Pearson’s Chi-square test in two stages to examine whether any significant difference exists in the four textbooks. The findings reveal that at a macro level, linguistics tasks are viewed are the most important type while domestic educators show a mixed attitude toward the rest four task types. Under closer scrutiny, some sub-task types are payed more attention to than others in different versions of textbooks. This should raise concern because each task type exerts its unique effects on language learning. The aim of the study is to evaluate the quality of the four textbooks and spot potential problems in these teaching materials.   
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it