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Record W2567885046 · doi:10.7202/1037611ar

Cultural rights and “Masterpieces” of Local and Translocal Actors

2016· article· en· W2567885046 on OpenAlexvenueno aff
Hélène Giguère

Bibliographic record

VenueEthnologies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsIntangible cultural heritageCultural heritageContext (archaeology)Ethnic groupCultural rightsCultural heritage managementListing (finance)TourismValue (mathematics)SociologyPolitical scienceCultural spaceEnvironmental ethicsSocial scienceLawHuman rightsFundamental rightsGeographyBusinessArchaeology

Abstract

fetched live from OpenAlex

This paper deals with European experiences of inscription of traditional cultural practices on UNESCO’s Representative List of Intangible Cultural Heritage (ICH). It will first establish the institutional context of the UNESCO’s listing within the framework of reflections on cultural rights. Then, the author briefly presents four European masterpieces in the Mediterranean area. A comparative analysis follows which specifically focuses on the multiplication of practitioners and on translocality; on the overlapping between institutions and artisans; on the use of intangible cultural heritage as a driver for local development via cultural tourism; and on the multimedia “museification” of the intangible. The comparative study of the listing of these intangible cultural heritage traditions also questions the value of customary law versus freedom of expression and creation. It reveals the tensions between the “purity” and “impurity” of cultural practices and social agents, as well as exclusions related to ethnicity, sex or territory. These tensions create new social divisions and remodel the link people have with cultural practices. An examination of gender sheds light on the marginality of women in public space.

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)0.007
metaresearch head score (Gemma)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.049
Scholarly communication0.0090.010
Open science0.0010.013
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.085
GPT teacher head0.250
Teacher spread0.165 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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