Class Size and Eighth-Grade Math Achievement in the United States and Abroad
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
Using data from the Third International Math and Science Study (TIMSS), we examine the relationship between class size and eighth-grade math achievement in Australia, Canada, France, Germany, Hong Kong, Korea, Iceland, Singapore, and the United States. Class sizes tend to be greater and more homogenous in centralized education systems compared with those in decentralized systems. The United States seems to be unique among the countries in our study. After controlling for possible confounding characteristics of the teacher, school, and classroom, in no other country than the United States did we find a beneficial effect of small classes. Contrary to our expectations, we also found little evidence that smaller or larger classes differ in the amount of curriculum taught or in the instructional practices of teachers. Except for the case of Hong Kong, neither curricular coverage nor instructional practices mediates the relationship between class size and math achievement.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it