The Educational Backgrounds of Leading Scientists and Scholars
Bibliographic record
Abstract
of Key Findings Four in ten (42%) of the UK's most prestigious scientists and scholars were educated at independent schools. 40 schools, mostly independent, produced a quarter of today's Fellows of the Royal Society and British Academy. Over half (56%) of the Fellows of the Royal Society and British Academy studied at Oxford or Cambridge. Over two thirds (68%) of British Academy Fellows educated in the UK went to Oxford or Cambridge universities compared with just under half (47%) of the UK educated Fellows at the Royal Society. Cambridge University particularly dominates the Royal Society -accounting for 34% of Fellows, compared to Oxford's 13%. The school backgrounds of today's Fellows closely mirror the student intakes to Oxbridge and other elite universities in the 1960s when many entered higher education. Current independent school pupils are on average four times as likely to achieve an A* in academic GCSEs than their state school counterparts, and constitute up to a half of the highest achieving pupils in some core academic subjects at age 16. Students in independent schools account for fewer than 15% of A level entries, but twice the proportion of A grades.Independent school students account for one third or more of top grades in key subjects like Physics, Chemistry, Economics and History. Current trends in student intakes to leading research universities suggest that independent school pupils will continue to be over-represented among the next generation of leading scientists and other scholars.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".