What drives US competitiveness in mathematics and science?
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
Abstract The Trends in International Mathematics and Science Study (TIMSS) shows that US school students have a lower level of achievement than students from many East Asian countries. Therefore, media, researchers and policy‐makers in the United States have often argued that US competitiveness in mathematics and science will decline. This paper aims at verifying this conclusion by analysing data on medallists at the International Olympiads for high school students. The analysis suggests that US competitiveness may not be endangered. Keywords: TIMSSmathematicssciencehigh school studentsUS competitiveness Notes 1. For the International Mathematics Olympiad in 2005 no official result was available in 6/2007. 2. I searched Google (March 2006) using the following algorithm: “international [subject area] Olympiad” [country name] “curriculum vitae” 3. I searched Google (March 2006) using the following algorithm: “international mathematical Olympiad” “curriculum vitae”. Only résumés with a web address of a US university were considered. A total of 30 résumés were identified.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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