UK Tower Block: complete collection
Bibliographic record
Abstract
The Tower Block UK image archive – the principal legacy of our HLF funded projects – is a database of around 4000 images of every multi-storey social housing development built in the UK in the post-war decades. The photographs were largely taken in the 1980s by Miles Glendinning and are made available here for the first time for public use. As many of the blocks documented in photographs have since been demolished, the archive functions in part as a repository of information on important aspect of national and local heritage that is now vanishing. The archive itself catalogued multi-storey blocks as part of the developments within which they were initially commissioned and built. It gives details of notable dates in construction, and other information on the processes of commissioning, designing and constructing mass social housing. While the most historically accurate identification labels in the database are the original overall development or project names, the archive also contains details of the individual blocks built. Beginning as the digitisation of one specific collection of details and photographs, over the course of the three-year-long Heritage Lottery-funded project, the archive expanded as residents and former residents of housing development were invited to contribute their own records, which have now been added to the archive. The images are made freely available under a Creative Commons attribution licence. Associated book: Miles Glendinning and Stefan Muthesius "Tower Block: Modern Public Housing in England, Scotland, Wales and Northern Ireland" (1994) Yale University Press. ISBN: 0-300-05444-0. Print.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.576 | 0.582 |
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".