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Record W2765125440 · doi:10.4000/viatourism.635

Le visiteur de musées d’art : comparaison entre le Brésil et l’Espagne

2015· article· fr· W2765125440 on OpenAlexaff
Diomira María Cicci Pinto Faria

Bibliographic record

VenueVia Tourism Review · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’objectif de cet article est d’analyser le tourisme culturel du point de vue du visiteur de musée d’art : nous présenterons les caractéristiques socio-économiques des personnes qui fréquentent un musée d’art contemporain au Brésil et comparerons ces résultats avec ceux de musées situés dans différentes villes d’Espagne. Nous avons réalisé une collecte de données primaires et d’informations issues de la documentation disponible. Il s’agit d’une recherche exploratoire. Les résultats montrent que le profil des visiteurs brésiliens est comparable, à plusieurs niveaux, au profil des visiteurs de musées espagnols. Cette étude a pour objectif de mieux connaître le profil socio-économique des visiteurs de musées d’art au Brésil et de permettre ainsi une gestion plus efficace de ces établissements culturels.

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)0.004
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 score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.009
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.038
GPT teacher head0.269
Teacher spread0.231 · 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
Published2015
Admission routes1
Has abstractyes

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