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An Application of the AHP in Cultural Heritage Conservation Strategy for China

2009· article· en· W2119851926 on OpenAlexvenueno aff
Yaolin Zhou

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsAnalytic hierarchy processCultural heritageChinaChristian ministryHierarchyPolitical scienceHumanitiesEthnologySociologyGeographyOperations researchArchaeologyEngineeringPhilosophyLaw

Abstract

fetched live from OpenAlex

How to establish a comprehensive conservation strategy for China’s cultural heritage conservation has not yet been paid attention. Nowadays cultural heritage conservation involves more and more factors and gradually turns into a complex multi-criteria decision problem, which brings many difficulties to strategy-making. The Analytic Hierarchy Process (AHP) can be very useful in reaching a likely result which can satisfy the decision makers. With the help of the foundation funded by the Ministry of Education and the State Archives Administration of China, this paper is intended to investigate the feasibility of applying the AHP in cultural heritage conservation to improve the decision making with a more systematic and logical approach. First, the important criteria and alternatives for cultural heritage conservation were identified. These criteria and alternatives were used to formulate an AHP-based model to represent the strategy making aspects. Then the AHP-based model was analyzed, and finally some conclusions were obtained, such as “ restoration technology is emergent ” , “ technological application is important”,etc Key words: cultural heritage, conservation strategy, AHP Resume: Comment etablir une strategie globale de conservation pour l’heritage culturel chinois n’a pas fait l’objet d’une grande attention. Aujourd’hui, la conservation de l’heritage culturel comprend de plus en plus de facteurs et devient progressivement un probleme de decision complexe a multi-criteres qui entraine beaucoup de difficultes pour la prise de strategie. Le Processus de la hierarchie analytique (Analytic Hierarchy Process/AHP) est tres utile pour chercher un resultat qui pourrait satisfaire ceux qui prennent la decision. Avec l’aide de la fondation financee par le ministere de l’Education et l’Administration nationale des archives de la Chine, cet article essaie d’etudier la feasibilite d’appliquer l’AHP a la conservation de l’heritage culturel de sorte a faciliter la prise de decision avec une approche plus systematique et logique. Tout d’abord, les criteres et alternatives importants pour la conservation de l’heritage culturel etaient identifies. Ils etaient utilises pour formuler un modele base sur l’AHP dans le but de representer les aspects de la prise de strategie. Ensuite, ce modele etait analyse, et finalement on obtenait des conclusions, comme « la restauration technologique est emergente », « l’application de la technologie est importante » etc. Mots-Cles: heritage culturel, strategie de la conservation, AHP

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)0.008
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.071
GPT teacher head0.277
Teacher spread0.206 · 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 designTheoretical or conceptual
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

Citations11
Published2009
Admission routes1
Has abstractyes

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