A comparative study of the third grade math test at provincial level between China and Canada
Bibliographic record
Abstract
Math test at the national or provincial level is often regarded as high-stake tests. By comparing the content and form including amount, scoring, and the degree of difficulty of a Chinese and Canadian third-grade math test at the provincial level, we systemically explored their commonalities and differences. The results shows that in both countries, mathematical content is covered comprehensively, namely, the key points in math textbooks are included in both tests. However, there are striking differences existing in both tests. Firstly, the difficulty level in both testsare completely different?and the degree of difficulty in the Canadian test is much smaller. Secondly, both the quantity of test items and types of test items are much more in the Chinese test. And thirdly, there is a big difference in the representation of the mathematical tasks and the use of computational tools between two countries. We end with suggestions for the reciprocal learning of the design of a provincial level math test between China and Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".