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Record W3117432471 · doi:10.1080/13527258.2020.1858441

Commercialization without over-commercialization: normative conundrums across heritage rationalities

2020· article· en· W3117432471 on OpenAlex
Chiara Bortolotto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Heritage Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsCanadian Heritage
FundersAgence Nationale de la Recherche
KeywordsCommercializationNormativeEnvironmental ethicsPolitical scienceSociologyEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

In aligning its priorities around the Sustainable Development Goals, UNESCO officially acknowledges the need to reconcile the market and heritage. Yet inscriptions of commercial practices on the Intangible Cultural Heritage lists are qualified as ‘traumatic’ by actors that design normative principles for ‘good’ heritage governance. Based on ethnographic observations of the meetings of the governing bodies of the Convention for the Safeguarding of the Intangible Cultural Heritage, I analyse the controversies generated by the ‘risks of over-commercialization’, shedding light on the disputed entanglements between ICH and the market. In exploring the notion of ‘commercialization without over-commercialization’ meant to resolve the tension between heritage and the market, I highlight how ‘over-commercialization’ refers to notions of ‘misappropriation’ and ‘decontextualization’ and the ways it, therefore, intersects with the logics of Intellectual Property. This allows to elucidate a constitutive ambiguity in the implementation of the Convention, torn between the rationalities of heritage and property regimes.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

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 communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.199
GPT teacher head0.356
Teacher spread0.156 · 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