Bibliographic record
Abstract
Following An Empirical Study on Problems Involved in CET4 Communicative Listening Test and Teaching. This article also selects two representative classes of sophomores coming from Hubei University of Education as the sample to complete the empirical research on what necessary renovations should be taken place in New-CET4 communicative listening test in the methods of quantitative and qualitative comparative analysis with the help of the instrument SPSS (Statistics Planning of Social Science). The research findings prove that such reformations should be employed in the traditional New-CET4 listening test as to enlarge the length of conversations step by step and involve conversational situations in Section A (Conversation Listening Part), to add short audio-news and video-episodes as well as subjective questions to Section B (Passage Listening Part), and to change traditional word and sentence gap filling into title filling, partial topic sentence filling and key words filling in Section C (Compound Dictation Part). Key word: Empirical reforms; CET-4 (College English Test Band 4); Communicative listening test
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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 | 0.017 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".