Bibliographic record
Abstract
Going Back to Dalston: Preface to the Oxford Edition PART ONE: THE UNDEMOLISHED WORLD OF DALSTON LANE 1. Street-Corner Vision 2. Around the World in Three Hundred Yards 3. All Cats are Grey by Night 4. Down in the Dirt 5. Dalston Lane Becomes a Downland Track PART TWO: BRIDESHEAD AND THE TOWER BLOCKS 6. Brideshead Relocated 7. Abysmal Heights 8. Rodinsky's Place 9. An Unexpected Reprieve PART THREE: SCENES FROM THE PRIVATIZED CITY 10. The London Bus Queue Falls Apart 11. The Vandalized Telephone Box 12. The Man with a Metal Detector 13. Drinking Water in a Toxic State PART FOUR: TALES OF CONVERSION 14. The Park that Lost its Name 15. Remembering London's War 16. The Bow Quarter: Six Hundred and Seventy Luxury Flats in an Old Victorian Hell-House PART FIVE: VISIONS OF THE NEW DAWN 17. Excellence: From Fifth Avenue to Hackney Town Hall 18. Refounding the City with Prince Charles AFTERWARDS... 19. Down Among the Gentrifiers 20. A Night to Remember 21. Brick Lane's Day of Killing 22. Don Giovanni (and Business Planning) Come to the Hackney Empire 23. Siraj Izhar's public lavatory Notes Index
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.077 | 0.025 |
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".