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Evolving Creativity: An Analysis of the Creative Method in elBulli Restaurant

2013· article· en· W2040216467 on OpenAlexafffund
Juan Luis Suárez, Fernando Sancho Caparrini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of CanadaJunta de Andalucía
KeywordsCreativityOrder (exchange)Qualitative analysisComputer scienceWork (physics)Creative workAdvertisingMarketingKnowledge managementQualitative researchData scienceBusinessEngineeringSociologyPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

In this article we present an analysis of the creative method developed in the restaurant elBulli (www.elbulli.com) over the period 1987-2005. elBulli has been the 5-time recipient of the Best Restaurant in the World by Restaurant Magazine, and media, professionals and scientists have recognized the global impact of its work in the food industry over the last two decades. This impact is closely connected to the model of evolving creativity that elBulli team has implemented and refined over the years. We combine the qualitative study of documents produced by elBulli restaurant with networks analysis in order to represent a model of evolving creativity that can be applied to other domains and industries.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.051
GPT teacher head0.419
Teacher spread0.368 · 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 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

Citations7
Published2013
Admission routes2
Has abstractyes

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