The Construction of College English Network Evaluation Testing System of Medical Schools
Bibliographic record
Abstract
As we all know, in the learning process in college, CET 4 and CET 6 are the necessary stages for each student and they are also the educational policy that the country has been implemented. In this context, the major colleges and universities begin to explore the establishment of college English network assessment testing system to promote students to learn effectively for CET 4 and CET 6 to obtain better results. However, with the comprehensive advance of the education reform in our country, the reform of this system is followed. CET 4 and CET 6 have been developed into the form of network testing. In the context of quality education in China, college English education also continues to reform and is transferred from examination-orientated education to quality-orientated education. With the requirements of the education reform, medical schools are also engaged in education reform, especially in the constantly exploring the way of college English network assessment testing system. This paper mainly discusses the construction of college English network evaluation testing system in medical schools.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".