An international comparison of school systems based on social mobility
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
We propose an international comparison of school systems in OECD countries in terms of social mobility in schools based on the PISA (Program for International Student Assessment) test results in mathematics between 2003 and 2015. For each country, we calculate students'interdecile social mobility in schools on the basis of their ranking in the PISA test in mathematics, compared to their social ranking in their country, and compare this new index of equity to those generally used in OECD studies (slope and intensity of social gradient, percentage of resilient students). A new representation, the "Great Gatsby curve of school", in reference to the Great Gatsby curve of income, is proposed: the social mobility of a school system is closely linked to the educational inequality between students and schools. Countries such as Belgium or France with high levels of school inequality also stand out for low social mobility in schools. Inversely, countries such as Finland or Canada are characterised by low school inequality and high levels of social mobility in schools. A second important conclusion of the analysis is that the countries in which social mobility in schools is above average are also most often those with school achievement levels above the average.
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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 | 0.001 | 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 | 0.000 | 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