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Record W2962960948 · doi:10.1177/0096144219864677

The Evolution and Transformation of Bankside, London, 1947-2019

2019· article· en· W2962960948 on OpenAlexaboutno aff
Stephen Murray

Bibliographic record

VenueJournal of Urban History · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentLocalityGovernment (linguistics)Investment (military)EconomyUrban regenerationQuarter (Canadian coin)Principal (computer security)Economic geographyPolitical scienceCivil engineeringEngineeringEconomicsHistoryArchaeologyGeographyEnvironmental planningLawPolitics

Abstract

fetched live from OpenAlex

The redevelopment of the Bankside area in central London was proposed in 1943, yet substantive regeneration was only achieved toward the end of the century. This article analyzes the processes whereby a postwar industrial, then deindustrial, locality evolved into a popular leisure and residential quarter. It argues that strategic plans for the area engendered only incremental and piecemeal redevelopment. Change was principally driven by industrial decline, government building policies, and the availability of finance, and, since the 1990s, by private-sector investment and culture-driven regeneration. Tensions and conflicts arose over the direction of, sometimes controversial, redevelopment. The locality’s principal building, Bankside power station, inhibited the realization of early redevelopment plans, but, as Tate Modern, was instrumental in the cultural and social transformation of the area.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.593

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.007
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.010
GPT teacher head0.217
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2019
Admission routes1
Has abstractyes

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