The CARRA project: Developing tools to help heritage managers identify and respond to coastal hazard impacts on archaeological resources
Notice bibliographique
Résumé
Coastal archaeological sites in Newfoundland and Labrador are currently under considerable threat, with important knowledge of the province's history and prehistory potentially lost to erosion. Climate change will exacerbate existing coastal hazards, thus causing even greater loss of archaeological resources in the future. Action is needed now to protect or retrieve the information from significant sites under threat in coastal areas before they are completely eroded. In responding, cultural resource managers face potentially tough questions about which sites are at risk, how to prioritize at-risk sites for action, and what management option is most appropriate. A 2011 study by Westley et al. estimated that one-fifth of the coastal archaeological sites in three study regions of Newfoundland were highly vulnerable to the impacts of relative sea-level rise (SLR), storm surges or coastal erosion over the next 15-50 years. The Coastal Archaeological Resources Risk Assessment (CARRA) project aims refine the site vulnerability assessment approach and inform management decisions about at-risk sites. This includes employing high resolution coastal topography (e.g. LiDAR), revised SLR projections, updated coastal erosion estimates and resurveyed site positions in our improved vulnerability classification. Once at-risk sites have been identified, prioritizing action at these sites is especially difficult. A review of the published literature revealed few examples of applied processes and those identified rely heavily on the quantification and ranking of risk factors with less emphasis on the nature and rarity of the archaeological resource. The CARRA project is reviewing current practices in at-risk site prioritization with the goal to create best practice scenarios for one of our Newfoundland study areas. This process will involve detailed hazard assessment of two at-risk sites, including coastal erosion and shoreline retreat studies, as well as an impact assessment of known archaeology resources at each site under future hazard scenarios. The final step in the management of at-risk archaeological sites is the design and implementation of an action plan. The CARRA project aims to inform this step through a review of current case studies and management actions at threatened sites across Canada. Two case studies from Newfoundland are briefly introduced to illustrate the types of local actions taken to mitigate erosion at archaeological sites. These case studies will be reviewed in detail with the intention to share adaptation strategies as part of a new community of practice for heritage managers responsible for coastal archaeology resources in Canada.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».