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Record W4392269810

The marketing function within artistic and cultural organizations : nature et degree of its effective integration

2018· preprint· fr· W4392269810 on OpenAlexaboutno aff
Elodie Chabroux

Bibliographic record

Venuetheses.fr (ABES) · 2018
Typepreprint
Languagefr
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsFunction (biology)Degree (music)BusinessMarketingSociologyPolitical scienceAestheticsArt
DOInot available

Abstract

fetched live from OpenAlex

Le présent travail s’intéresse à la nature et aux effets de l’intégration d’une logique de marketing dans les organisations du secteur des arts et de la culture. La recherche conduite ambitionne d’actualiser et de prolonger les connaissances acquises concernant le « conflit » artistes versus managers exposé par Chiapello (1998) tout en l’orientant vers le conflit artistes versus marketers. Inscrit dans une démarche compréhensive, ce travail s’appuie sur la méthode des cas. Une étude qualitative exploratoire constituée de 17 entretiens précède la réalisation de 5 études de cas, menées auprès de la Bibliothèque nationale de France (BnF), la Bibliothèque publique d’information (Bpi), le Musée national d’art moderne du Centre Pompidou (MNAM), le Musée des beaux-arts de Montréal (MBAM) et la Bibliothèque et Archives nationales du Québec (BAnQ). La mise en œuvre des études de cas se fonde sur des périodes d’immersion significatives au sein des institutions mentionnées ; durant ces périodes des entretiens semi-directifs et observations ont été collectés et analysés. Par ailleurs, cette recherche a permis de réaliser une analyse comparative France-Canada. Outre le constat sur l’actualité du conflit établi, la thèse propose des pistes à l’écriture d’une intégration efficace du marketing dans les organisations culturelles.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.228
Teacher spread0.215 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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