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Enregistrement W1597977131 · doi:10.1353/cot.2011.a463077

Heritage Recording and Information Management in the Digital Age (SMARTdoc-heritage)

2011· article· en· W1597977131 sur OpenAlexaboutno aff
Mario Santana Quintero, Ona Vileikis

Notice bibliographique

RevueChange Over Time · 2011
Typearticle
Langueen
DomaineEarth and Planetary Sciences
Thématique3D Surveying and Cultural Heritage
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDocumentationLibrary scienceCultural heritage managementCultural heritageService (business)ArchivistIndustrial heritageWork (physics)Political sciencePublic relationsHistorySociologyEngineeringArchaeologyComputer scienceBusiness

Résumé

récupéré en direct d'OpenAlex

Heritage Recording and Information Management in the Digital Age (SMARTdoc-heritage) Mario Santana Quintero (bio) and Ona Vileikis Executive Summary The international symposium SMARTdoc-heritage, which was held on November 19-20, 2010 at the University of Pennsylvania in Philadelphia (USA), provided a wide cross-disciplinary platform for educators, professionals, heritage institutions, and managers of heritage places to share, exchange, and explore new approaches, best practices, and research results in the area of digital heritage recording, documentation, and information systems. This event was organized by the Historic Preservation Department at the School of Design (University of Pennsylvania) with the collaboration of the Raymond Lemaire International Centre for Conservation (RLICC, KU-Leuven) and the University College St. Lieven. Supporting institutions included the Kress Foundation, Sardegna fund, UNESCO World Heritage Center, UNESCO Chair for Preventive Maintenance, Monitoring, and Conservation (PRECOMOS), ICOMOS Scientific Committee on Heritage Documentation (CIPA), ICCROM, and the International Society on Virtual Systems and Multimedia (VSMM). This symposium, initially planned by Robin Letellier and Frank Matero, was dedicated to Letellier's unique vision and tireless effort to promote heritage conservation through research, teaching, and public service. It expands Letellier's work with the Getty Conservation Institute (GCI), which eventually led to the two-volume publication of Illustrated Examples: Recording, Documentation, and Information Management for the Conservation of Heritage Places produced by the GCI. Concepts and Results The rapid rise in new digital technologies has revolutionized the practice of recording heritage places. Digital tools and media offer a myriad of new opportunities for collecting, analyzing, and disseminating information about heritage sites. But with these new opportunities, there are also many conflicts about the appropriate level and degree of recording and documentation knowledge required by conservation professionals. Research and applied uses of digital media in documenting and recording heritage sites have created an urgent dilemma in education and practice within the global heritage conservation field. UPenn, KU-Leuven, and their partners have played a leading role in this area of cross-disciplinary research and practice. SMARTdoc-heritage was envisioned as a platform to offer a unique opportunity for educators, professionals, heritage institutions, and managers [End Page 157] of heritage places to share, exchange, and explore new approaches, best practices, and research results in the area of heritage informatics. The symposium drew the participation of over 250 professionals, academics, and students from Austria, Belgium, Canada, China, Colombia, the Czech Republic, Denmark, Germany, India, Iran, Italy, Japan, Lebanon, Lithuania, Pakistan, Spain, Turkey, the United States, the United Kingdom, and Venezuela. The symposium included two internationally recognized keynote speakers, and more than twenty oral presentations were offered in five thematic forums. Speakers represented preservation organizations across the world: B. Kessler Foundation, Bryn Mawr College, ES Srl Progetti e Sistemi, the Getty Conservation Institute, Indian Trust for Cultural Heritage, Heritage Recording Unit of Canada's Heritage Conservation Directorate, Historic American Buildings Survey, Integrated Conservation Resources, Muhlenberg College, Pantel, del Cueto & Associates, Polytechnic University of Valencia, Raymond Lemaire International Centre for Conservation-KU Leuven, UNESCO, University of Primorska, University College St. Lieven, University of California at Merced, University of Notre Dame, University of Pennsylvania, and World Monuments Fund. A report of each forum was presented during a roundtable session, allowing for audience responses to the issues and topics addressed during the symposium. Additionally, a poster session with over fifty submitted contributions was held at PennDesign's lower and upper galleries and five posters were awarded recognition. Papers have been selected for publication in the current and next issue of Change Over Time. Along with the posters and presenters, exhibitors from leading commercial firms demonstrated hardware and software for recording heritage places. The symposium was recorded using advanced digital video. Keynotes The symposium began with two keynotes speakers, with Francois LeBlanc serving as the event's opening keynote. LeBlanc led the Getty Conservation Institute's Field Projects during the development of the RecorDIM initiative. Leblanc argued for the increasing need for more and better recording, documentation, and information management of our cultural heritage. He stressed the alarming rate in which heritage disappears due to natural and human causes. He also presented a remembrance speech on Robin Letellier, one of the most inspiring specialists in this field during the...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,610
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,046
Tête enseignante GPT0,203
Écart entre enseignants0,158 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2011
Routes d'admission1
Résumé présentoui

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