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Record W4392495632

Dynamiques des clusters culturels métropolitains, une perspective évolutionniste : Analyse comparée de Québec (Quartier Saint-Roch), Barcelone ( 22@) et Nantes (Quartier de la Création)

2016· preprint· en· W4392495632 on OpenAlexaboutno aff
Hélène Morteau

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typepreprint
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaPerspective (graphical)Dynamics (music)Economic geographyRegional scienceGeographySociologyComputer scienceArtificial intelligenceArchaeologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

Although the term "cluster" is widely used in academic and political circles since the 1990s, we will see that cultural clusters take different forms. This analysis will underline the characteristics of a very specific type of cluster: the metropolitan cultural cluster. Their construction is part of a double intention : building new policy objects in an original way. These clusters can be considered as new public policy tools because of their hybrid nature. They depend on urban, economic and cultural dynamics. To better understand our research object we will use a multidisciplinary scientific approach at the intersection of these three perspectives. This is the originality of our approach.To sum up our work, we will see how the development of these clusters is structured through the relationship between stakeholders. We will focus on the logics that are behind these projects, choices, conflicts and changes in stakeholder’s positions.Less sectional, metropolitan cultural clusters are based on projects where the process is more important than the result. These processes are at the centre of our analysis and we will focus on their dynamics. The "new way of doing things" directly echoes with governance. The projects at the basis of metropolitan cultural clusters advocate an organic development where strategies are not static and where they evolve according to opportunities. Despite these intentions, the cultural clusters we study are largely influenced by earlier forms of clusters. The term itself is inherited from industrial policy. The methods of governance in these clusters seem frozen in old models and less flexible than they are supposed to be. They derive from a top-down approach, decided "by the top for the bottom". Starting from case studies and through an international comparative analysis, we will highlight the complexity behind the term cultural cluster. Adopting a continuous approach, we will trace the evolution of their objectives and seek to identify evolution factors. This thesis proposes a new perspective on the dynamics of cultural clusters. It draws on concepts from evolutionary theories. How do these concepts allow us to better understand the bifurcation strategies in the clusters of Nantes, Barcelona and Quebec? In other words, what do these concepts teach us on the determinants of flexibility?The conclusion will highlight the regular mechanisms that drive the evolution processes of metropolitan cultural clusters.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.074
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.006
Science and technology studies0.0060.009
Scholarly communication0.0110.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.289
Teacher spread0.270 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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