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Record W6977988345 · doi:10.7488/ds/5002

Tower Blocks UK: Hammersmith and Fulham London Dieppe Street Redevelopment Area, l18-18.jpg

2023· other· en· W6977988345 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Edinburgh · 2023
Typeother
Languageen
FieldComputer Science
TopicBig Data and Digital Economy
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentBoroughBlock (permutation group theory)TowerMetropolitan areaObject (grammar)Quarter (Canadian coin)Identification (biology)

Abstract

fetched live from OpenAlex

Multi-storey block details: one 8-storey block conatining 62 dwellings; Multi-storey block name(s): 39-100 Gibbs Green; Image detail: View of 39-100 Gibbs Green in background Original Commissioning Authority: Fulham Metropolitan Borough Council; Image taken: 1988;Context: Tower Block UK is a project supported by the Heritage Lottery Fund, bringing together public engagement and an openly-licensed image archive in an attempt to emphasise the social and architectural importance of tower blocks, and to frame multi-storey social housing as a coherent and accessible nationwide heritage. The Tower Block UK image archive is a searchable database of around 4,000 images of every multi-storey social housing development built in the UK. The photographs were largely taken in the 1980s by Miles Glendinning and are made available here for public use. As many of the blocks documented and photographed have since been demolished, the archive functions in part as a repository of information on an important aspect of UK heritage that is now vanishing. The archive itself catalogues multi-storey blocks as part of the developments within which they were initially commissioned and built. It gives details of notable dates, such as when local authorities approved the developments and when construction began or finished. Alongside this, the archive provides information on the local authorities, architects, and other agents involved in 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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.928
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9280.813

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.

Opus teacher head0.023
GPT teacher head0.193
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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