Bibliographic record
Abstract
The traditional focus of English phonetic teaching in China has consistently been on the segmental acquisition, which is mainly highlighting the pronunciation of vowels and consonants, while its suprasegmental knowledge in speech naturalness, coherence and understanding is relatively insufficient. In addition, Chinese students have a serious problem in the rhythm of English language, which is mainly influenced by the characteristics of the syllable-timed in their mother tongue rather than in a stress-timed way. This study reviews the academic works of the nearly 15 years in the development of Chinese prosodic features of English language, giving a better and deeper analysis and appreciation of the suprasegmental phoneme levels of different aspects, such as the fundamental components of English prosody such as stress, rhythm and intonation. This study is hoped to shed light on the prosodic analysis of Chinese English learners’ oral proficiency in pronunciation, finding out the insufficiency in prosody of China English, and more importantly to provide effective learning strategy for Chinese English learners and teachers in prosody acquisition, therefore, it might pave the way to the reform of oral English teaching 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".