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Record W4385563109 · doi:10.1002/9781394229789.ch3

The Paradox of Participation in the Chinese Ecomuseum

2023· other· en· W4385563109 on OpenAlexaboutno aff
Yves Girault

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsSafeguardingChinaContext (archaeology)Cultural heritageNorwegianWork (physics)Political scienceColonialismAgency (philosophy)DocumentationSociologyHistoryPublic administrationSocial scienceLawArchaeologyEngineering

Abstract

fetched live from OpenAlex

China began to experiment with adapting the concept of the ecomuseum within the context of a Chinese–Norwegian cooperative program, led by museologists from both countries. The first Chinese ecomuseums, which have often been critiqued for their destructive effects on cultural heritage and local populations, have also been accused of practicing a “cultural colonialism” imposed by elites on local populations. Outside of the emergence of an environmental consciousness in some museum professionals, the materialization of the concept of the ecomuseum has been most directly associated with Su's work as Scientific Counsel for the Safeguarding of Cultural Heritage in Guizhou province. Following the opening of the documentation center in 1998, the Soga ecomuseum launched its first project in 1999, the Qing Miao Memory Project, which seemed to be a second watershed moment for local participation. Like the ecomuseums of Quebec, the third generation of Chinese ecomuseums mobilize heritage as an economic driver for their regions.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.014
Scholarly communication0.0060.003
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.089
GPT teacher head0.289
Teacher spread0.200 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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