The Etons of the East End: the ambiguities of educational urgency and the neoliberal fantasy
Bibliographic record
Abstract
This paper scrutinises the concept of educational urgency through the experiences of former students at two sixth forms in a working-class, ethnic minority borough in East London, Brampton Manor Academy (BMA) and the London Academy of Excellence (LAE). Crowned as the ‘Etons of the East End’, BMA and LAE have become templates for educational policymakers due to their records of raising aspiration and aiding historically disadvantaged students to gain admission into top universities. Through interviews, former students share how BMA and LAE ascribed neoliberal fantasies of success to their educational identities under the guise of meritocracy. They speak powerfully to the struggles of social mobility as they navigate the education system, their communities, and their broader lives. The role of academies as agents of cultural transformation not only reinforces the very structures that disadvantage their students but also obscures the notion of educational urgency and its significance.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.045 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".