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Record W4399240434 · doi:10.53373/reds.2024.64.3.0171

PERCEPTION OF A PLACE OF CULTURE FROM AN EDUCATIONAL PERSPECTIVE THE MUSEUM IN FRANCE, HIC ET NUNC

2024· article· en· W4399240434 on OpenAlexaff
Claudia Sapta

Bibliographic record

VenueRevue Européenne du Droit Social · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsPerspective (graphical)PerceptionAestheticsSociologyVisual artsArtPsychology

Abstract

fetched live from OpenAlex

In the perspective of education through culture, the museum fully plays its role.Acting as a guarantor of memory, a transmitter of meaning, and a facilitator of access for a public seeking sensitive experiences to live, the museum reiterates the debate on lifelong education.Given the considerable stakes involved, it seems relevant to show how the framework and time specific to informal and non-formal education promote cultural offerings.In this perspective, knowledge and learning in the digital age point to a paradigm shift.Concepts such as "perception," "creation," "operation" of cultural places, invite us to grasp the kaleidoscopic facets pointing towards the virtualization of the museum.Struggling to find its true place in digital culture, the museum requires a rethinking of the time-space configuration.The "here and now" tandem unfolds multiple levels of reading associating physical locations and presence with virtual sites.Our presentation will include a brief insight into the establishment and evolution of the museum institution in France, followed by an analysis of the "public -museum -cultural policy" relationship.Given that the virtualization of the museum raises numerous questions reflecting the major concern of the increasingly heterogeneous public's accessibility, some practical examples of digital databases will illustrate what we could call a culture of ubiquity.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

Explore more

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