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Record W2239801274

Cities of Culture and the Regeneration Game

2011· article· en· W2239801274 on OpenAlexaboutno aff
Graeme Evans

Bibliographic record

VenueBrunel University Research Archive (BURA) (Brunel University London) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsRegeneration (biology)BusinessBiology
DOInot available

Abstract

fetched live from OpenAlex

Capital of Culture (ECoC) programme exactly a year on from its inauguration. This event also saw the transition from Liverpool's "Year of Culture 08‟ to "Year of Environment 09" and a simultaneous event in the Austrian city of Linz to which the Capital of Culture mantle passed, along with Vilnius, Lithuania. An estimated 60,000 people congregated at the Pier Head as well as at the Albert Dock and Wirral bank, for a celebration that included sing-a-longs, firework displays, street artists on illuminated bikes and light projections onto a famous refurbished new museum building making up this World Heritage city. This "Light Night" celebration also kick-started similar events held in cities in England and Scotland, with extended opening of venues. The Light Night theme chosen for Liverpool 08's swansong emulates the Nuit Blanche festival celebrated in dozens of cities such as Paris, Rome, Montreal and Toronto - the largest of which attract 1 to 3 million participants over "late night" weekend extravaganzas (Jiwa et al., 2009). These "eventful cities" (Richards and Palmer 2010) reflect a global trend and network that spreads virtually and geographically (Evans, 2011).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.016
Scholarly communication0.0170.004
Open science0.0010.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0290.001

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 head0.078
GPT teacher head0.265
Teacher spread0.187 · 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 designNot applicable
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

Citations33
Published2011
Admission routes1
Has abstractyes

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