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Record W4387720705 · doi:10.22530/ayc.2023.23.635

La diversidad y los usos mixtos en los entornos culturales y creativos como impulsores de la participación ciudadana y la sostenibilidad: análisis del St. George’s Cultural Quarter (Leicester, Reino Unido)

2023· article· es· W4387720705 on OpenAlexaboutno aff
Jennifer García Carrizo

Bibliographic record

VenueArte y Ciudad · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsCreative cityQuarter (Canadian coin)Creative CitiesSociologyPhoenixGeorge (robot)Promotion (chess)HumanitiesGeographyCreativityPolitical scienceArtMetropolitan areaArt historyArchaeology

Abstract

fetched live from OpenAlex

Cultural and creative urban areas are fundamental in our cities for cultural development and the promotion of creativity in the city. This research aims to examine the importance of diversity and mixed uses in these areas, focusing on the case study of the St. George’s Cultural Quarter in Leicester, United Kingdom. It highlights how the combination of different cultural and creative activities, together with the diversity of actors involved in them, contributes to the promotion of citizen participation and the revitalisation of an area. Through a detailed analysis of this case study, successful strategies to promote social cohesion and sustainability in cultural and creative urban areas are identified. To do this, this research presents different activities developed by spaces in the St. George’s Cultural Quarter such as the LCB Depot, Leicester Print Workshop, the Curve Theatre, the Phoenix Digital Media Center and the Chutney Ivy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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