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Record W3214454297 · doi:10.3917/eg.494.0319

Let’s get together: The making of shared heritage between bureaucratization of utopia and utopianization of bureaucracy

2021· article· fr· W3214454297 on OpenAlexaff
Chiara Bortolotto

Bibliographic record

VenueL’Espace géographique · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Cet article traite de la corrélation entre bureaucratie, idéologies d’échelle et utopie dans la production du « patrimoine partagé » comme incarnation de l’idéal porté par l’UNESCO pour rapprocher les peuples par-delà les frontières physiques et symboliques. L’utopie scalaire de l’UNESCO est explorée en mettant l’accent sur la promotion des « candidatures multi-nationales » à la Liste représentative du patrimoine culturel immatériel. Leur agentivité politique est illustrée par la candidature binationale de la lutte coréenne qui célèbre le partage d’une même culture par des pays rivaux. Ce dispositif est comparé à la rhétorique universaliste des débats qui ont accompagné l’inscription du reggae et du yoga sur la même liste. Une observation participante du dispositif global du patrimoine culturel immatériel met en évidence l’ingéniosité des fonctionnaires du patrimoine dans leur poursuite d’idéaux d’unité : des technologies administratives créant des représentations du patrimoine partagé sont conçues et mises en œuvre dans un processus qui rend l’utopie bureaucratique et la bureaucratie utopique.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.058
Scholarly communication0.0130.009
Open science0.0010.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.053
GPT teacher head0.261
Teacher spread0.208 · 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 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

Citations8
Published2021
Admission routes1
Has abstractyes

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